To solve the challenges of connecting and coordinating multiple platforms in the automotive industry and to enhance collaboration among different participants,this research focuses on addressing the complex supply rel...To solve the challenges of connecting and coordinating multiple platforms in the automotive industry and to enhance collaboration among different participants,this research focuses on addressing the complex supply relationships in the automotive market,improving data sharing and interactions across various platforms,and achieving more detailed integration of data and operations.We propose a trust evaluation permission delegation method based on the automotive industry chain.The proposed method combines smart contracts with trust evaluation mechanisms,dynamically calculating the trust value of users based on the historical behavior of the delegated entity,network environment,and other factors to avoid malicious node attacks during the permission delegation process.We also introduce strict control over the cross-domain permission granting and revocation mechanisms to manage the delegation path,prevent information leakage caused by malicious node interception,and effectively protect data integrity and privacy.Experimental analysis shows that this method meets the realtime requirements of collaborative interaction in the automotive industry chain and provides a feasible solution to permission delegation issues in the automotive industry chain,offering dynamic flexibility in authorization and scalability compared to most existing solutions.展开更多
This study investigates the effects of AI-mediated communication (AMC) on trust-building and negotiation outcomes in professional remote collaboration settings. Through a mixed-methods approach combining experimental ...This study investigates the effects of AI-mediated communication (AMC) on trust-building and negotiation outcomes in professional remote collaboration settings. Through a mixed-methods approach combining experimental design and qualitative analysis (N = 120), we examine how AI intermediaries influence communication dynamics, relationship building, and decision-making processes. Results indicate that while AMC initially creates barriers to trust formation, it ultimately leads to enhanced communication outcomes and stronger professional relationships when implemented with appropriate transparency and support. The study revealed a 31% improvement in cross-cultural understanding and a 24% increase in negotiation satisfaction rates when using AI-mediated channels with proper transparency measures. These findings contribute to the theoretical understanding of technology-mediated communication and practical applications for organizations implementing AI communication tools.展开更多
Border Gateway Protocol(BGP),as the standard inter-domain routing protocol,is a distance-vector dynamic routing protocol used for exchanging routing information between distributed Autonomous Systems(AS).BGP nodes,com...Border Gateway Protocol(BGP),as the standard inter-domain routing protocol,is a distance-vector dynamic routing protocol used for exchanging routing information between distributed Autonomous Systems(AS).BGP nodes,communicating in a distributed dynamic environment,face several security challenges,with trust being one of the most important issues in inter-domain routing.Existing research,which performs trust evaluation when exchanging routing information to suppress malicious routing behavior,cannot meet the scalability requirements of BGP nodes.In this paper,we propose a blockchain-based trust model for inter-domain routing.Our model achieves scalability by allowing the master node of an AS alliance to transmit the trust evaluation data of its member nodes to the blockchain.The BGP nodes can expedite the trust evaluation process by accessing a global view of other BGP nodes through the master node of their respective alliance.We incorporate security service evaluation before direct evaluation and indirect recommendations to assess the security services that BGP nodes provide for themselves and prioritize to guarantee their security of routing service.We forward the trust evaluation for neighbor discovery and prioritize the nodes with high trust as neighbor nodes to reduce the malicious exchange routing behavior.We use simulation software to simulate a real BGP environments and employ a comparative experimental research approach to demonstrate the performance evaluation of our trust model.Compared with the classical trust model,our trust model not only saves more storage overhead,but also provides higher security,especially reducing the impact of collusion attacks.展开更多
目的评估不同孕周应用苄星青霉素G对妊娠梅毒患者的疗效,及其对母婴结局和甲苯胺红不加热血清试验(TRUST)滴度的干预效果。方法回顾性选取2021年6月至2024年6月西北妇女儿童医院收治的98例妊娠梅毒患者,按不同孕周应用苄星青霉素G分为3...目的评估不同孕周应用苄星青霉素G对妊娠梅毒患者的疗效,及其对母婴结局和甲苯胺红不加热血清试验(TRUST)滴度的干预效果。方法回顾性选取2021年6月至2024年6月西北妇女儿童医院收治的98例妊娠梅毒患者,按不同孕周应用苄星青霉素G分为3组:孕早期组(≤13+6周,n=32)、孕中期组(14~27+6周,n=33)和孕晚期组(≥28周,n=33)。比较3组产妇治疗前、治疗2个疗程后的氧化应激指标[超氧化物歧化酶(SOD)、丙二醛、晚期氧化蛋白产物(AOPP)]水平、新生儿及产妇TRUST滴度比、产妇情况(产后出血率、早产率)及新生儿情况(先天梅毒儿、出生后5 min Apgar评分、体质量)。结果(1)较治疗前,3组产妇治疗2个疗程后血清SOD水平均更高,丙二醛、AOPP水平均更低,差异均有统计学意义(P<0.05);较孕早期组,孕中期组、孕晚期组产妇治疗2个疗程后SOD水平更低,丙二醛、AOPP水平更高,差异均有统计学意义(P<0.05)。(2)孕中期组、孕晚期组新生儿治疗后TRUST阴性率分别为30.30%、24.24%,较孕早期组(56.25%)更低,差异有统计学意义(P<0.05)。(3)孕中期组、孕晚期组产妇治疗后TRUST阴性率分别为9.09%、3.03%,较孕早期组(28.13%)更低,差异有统计学意义(P<0.05)。(4)较孕早期组,孕中期组、孕晚期组新生儿先天梅毒儿占比更高,出生后5 min Apgar评分、体质量更低,差异均有统计学意义(P<0.05)。结论妊娠梅毒患者孕早期应用苄星青霉素G疗效优于孕中期和孕晚期,对氧化应激改善更为显著,能进一步提升母婴TRUST阴性率及改善母婴结局。展开更多
GS1 is an international standards organization,which focuses on product identification and product data,helping businesses and governments to improve commerce and supply chain.Why trusted data is essential to high-qua...GS1 is an international standards organization,which focuses on product identification and product data,helping businesses and governments to improve commerce and supply chain.Why trusted data is essential to high-quality development?More than 50 years ago,GS1 was initiated with the bar code,a profound transformation of the way we work and live.From then on,a simple scan connected a physical product to its digital identity.It transformed commerce,improving supply chains and enabling safer healthcare.Collaboration between industry and governments,and a strong partnership with ISO and IEC laid the foundations for the global adoption of a common product identification over the past 50 years and all around the world.展开更多
Nowadays,we are witnessing the tremendous changes brought by AI technologies.What role can standards play in this process?How can we build global trust and enable responsible innovation?
The core missions of IoT are to sense data,transmit data and give feedback to the real world based on the calculation of the sensed data.The trust of sensing source data and transmission network is extremely important...The core missions of IoT are to sense data,transmit data and give feedback to the real world based on the calculation of the sensed data.The trust of sensing source data and transmission network is extremely important to IoT security.5G-IoT with its low latency,wide connectivity and high-speed transmission extends the business scenarios of IoT,yet it also brings new challenges to trust proof solutions of IoT.Currently,there is a lack of efficient and reliable trust proof solutions for massive dynamically connected nodes,while the existing solutions have high computational complexity and can't adapt to time-sensitive services in 5G-IoT scenarios.In order to solve the above problems,this paper proposes an adaptive multi-dimensional trust proof solution.Firstly,the static and dynamic attributes of sensing nodes are metricized,and the historical interaction as well as the recommendation information are combined with the comprehensive metric of sensing nodes,and a multi-dimensional fine-grained trusted metric model is established in this paper.Then,based on the comprehensive metrics,the sensing nodes are logically grouped and assigned with service levels to achieve the screening and isolation of malicious nodes.At the same time,the proposed solution reduces the energy consumption of the metric process and optimizes the impact of real-time metrics on the interaction latency.Simulation experiments show that the solution can accurately and efficiently identify malicious nodes and effectively guarantee the safe and trustworthy operation of 5G-IoT nodes,while having a small impact on the latency of the 5G network.展开更多
With the introduction of 5G,users and devices can access the industrial network from anywhere in the world.Therefore,traditional perimeter-based security technologies for industrial networks can no longer work well.To...With the introduction of 5G,users and devices can access the industrial network from anywhere in the world.Therefore,traditional perimeter-based security technologies for industrial networks can no longer work well.To solve this problem,a new security model called Zero Trust(ZT)is desired,which believes in“never trust and always verify”.Every time the asset in the industrial network is accessed,the subject is authenticated and its trustworthiness is assessed.In this way,the asset in industrial network can be well protected,whether the subject is in the internal network or the external network.However,in order to construct the zero trust model in the 5G Industrial Internet collaboration system,there are still many problems to be solved.In this paper,we first introduce the security issues in the 5G Industrial Internet collaboration system,and illustrate the zero trust architecture.Then,we analyze the gap between existing security techniques and the zero trust architecture.Finally,we discuss several potential security techniques that can be used to implement the zero trust model.The purpose of this paper is to point out the further direction for the realization of the Zero Trust Architecture(ZTA)in the 5G Industrial Internet collaboration system.展开更多
In the complex environment of Wireless Sensor Networks(WSNs),various malicious attacks have emerged,among which internal attacks pose particularly severe security risks.These attacks seriously threaten network stabili...In the complex environment of Wireless Sensor Networks(WSNs),various malicious attacks have emerged,among which internal attacks pose particularly severe security risks.These attacks seriously threaten network stability,data transmission reliability,and overall performance.To effectively address this issue and significantly improve intrusion detection speed,accuracy,and resistance to malicious attacks,this research designs a Three-level Intrusion Detection Model based on Dynamic Trust Evaluation(TIDM-DTE).This study conducts a detailed analysis of how different attack types impact node trust and establishes node models for data trust,communication trust,and energy consumption trust by focusing on characteristics such as continuous packet loss and energy consumption changes.By dynamically predicting node trust values using the grey Markov model,the model accurately and sensitively reflects changes in node trust levels during attacks.Additionally,DBSCAN(Density-Based Spatial Clustering of Applications with Noise)data noise monitoring technology is employed to quickly identify attacked nodes,while a trust recovery mechanism restores the trust of temporarily faulty nodes to reduce False Alarm Rate.Simulation results demonstrate that TIDM-DTE achieves high detection rates,fast detection speed,and low False Alarm Rate when identifying various network attacks,including selective forwarding attacks,Sybil attacks,switch attacks,and black hole attacks.TIDM-DTE significantly enhances network security,ensures secure and reliable data transmission,moderately improves network energy efficiency,reduces unnecessary energy consumption,and provides strong support for the stable operation of WSNs.Meanwhile,the research findings offer new ideas and methods for WSN security protection,possessing important theoretical significance and practical application value.展开更多
Today,I want to share how international standards can forge trust and fuel innovation,laying the foundation for a future where AI benefits everyone,everywhere.First,AI standards,developed jointly by ISO and IEC-the In...Today,I want to share how international standards can forge trust and fuel innovation,laying the foundation for a future where AI benefits everyone,everywhere.First,AI standards,developed jointly by ISO and IEC-the International Electrotechnical Commission-help build global trust and enable responsible innovation by bringing clarity and coherence to an ever-changing AI landscape.As developments in AI continue to emerge at speed,regulation is struggling to keep up and the proliferation of competing standards has created confusion rather than clarity.ISO and our partner IEC are addressing this challenge through the work of our expert committee on AI,SC 42,which takes a holistic,cohesive approach to AI standardization.展开更多
A recent study of patient-centered perspectives by Zhao et al,published in the World Journal of Psychiatry,identified key facilitators and barriers that influence insomnia patients’choice of acupuncture therapy,offer...A recent study of patient-centered perspectives by Zhao et al,published in the World Journal of Psychiatry,identified key facilitators and barriers that influence insomnia patients’choice of acupuncture therapy,offering insights for clinical practice and policy-making to enhance the integration of acupuncture therapy into comprehensive insomnia management.While acupuncture demonstrates unique advantages as a complementary medical approach,its broader adoption is hindered by complex multidimensional factors.This paper proposes a“dynamic balance model”encompassing the cultural,economic,and patient-provider trust dimensions,and emphasizes the need for synergistic optimization through cultural narrative transformation,institutional innovation,and digital empowerment.These strategies aim to facilitate the promotion of acupuncture for insomnia treatment and its global expansion.展开更多
Aiming at the problem that the data in the user rating matrix is missing and the importance of implicit trust between users is ignored when using the TrustSVD model to fill it,this paper proposes a recommendation algo...Aiming at the problem that the data in the user rating matrix is missing and the importance of implicit trust between users is ignored when using the TrustSVD model to fill it,this paper proposes a recommendation algorithm based on TrustSVD++and XGBoost.Firstly,the explicit trust and implicit trust were introduced into the SVD++model to construct the TrustSVD++model.Secondly,considering that there is much data in the interaction matrix after filling,which may lead to a rather complex calculation process,the K-means algorithm is introduced to cluster and extract user and item features at the same time.Then,in order to improve the accuracy of rating prediction for target users,an XGBoost model is proposed to train user and item features,and finally,it is verified on the data sets MovieLens-1M and MovieLens-100k.Experiments show that compared with the SVD++model and the recommendation algorithm without XGBoost model training,the proposed algorithm has the RMSE value reduced by 2.9%and the MAE value reduced by 3%.展开更多
In the context of an increasingly severe cybersecurity landscape and the growing complexity of offensive and defen-sive techniques,Zero Trust Networks(ZTN)have emerged as a widely recognized technology.Zero Trust not ...In the context of an increasingly severe cybersecurity landscape and the growing complexity of offensive and defen-sive techniques,Zero Trust Networks(ZTN)have emerged as a widely recognized technology.Zero Trust not only addresses the shortcomings of traditional perimeter security models but also consistently follows the fundamental principle of“never trust,always verify.”Initially proposed by John Cortez in 2010 and subsequently promoted by Google,the Zero Trust model has become a key approach to addressing the ever-growing security threats in complex network environments.This paper systematically compares the current mainstream cybersecurity models,thoroughly explores the advantages and limitations of the Zero Trust model,and provides an in-depth review of its components and key technologies.Additionally,it analyzes the latest research achievements in the application of Zero Trust technology across various fields,including network security,6G networks,the Internet of Things(IoT),and cloud computing,in the context of specific use cases.The paper also discusses the innovative contributions of the Zero Trust model in these fields,the challenges it faces,and proposes corresponding solutions and future research directions.展开更多
In the data transaction process within a data asset trading platform,quantifying the trustworthiness of data source nodes is challenging due to their numerous attributes and complex structures.To address this issue,a ...In the data transaction process within a data asset trading platform,quantifying the trustworthiness of data source nodes is challenging due to their numerous attributes and complex structures.To address this issue,a distributed data source trust assessment management framework,a trust quantification model,and a dynamic adjustment mechanism are proposed.Themodel integrates the Analytic Hierarchy Process(AHP)and Dempster-Shafer(D-S)evidence theory to determine attribute weights and calculate direct trust values,while the PageRank algorithm is employed to derive indirect trust values.Thedirect and indirect trust values are then combined to compute the comprehensive trust value of the data source.Furthermore,a dynamic adjustment mechanism is introduced to continuously update the comprehensive trust value based on historical assessment data.By leveraging the collaborative efforts of multiple nodes in the distributed network,the proposed framework enables a comprehensive,dynamic,and objective evaluation of data source trustworthiness.Extensive experimental analyses demonstrate that the trust quantification model effectively handles large-scale data source trust assessments,exhibiting both strong trust differentiation capability and high robustness.展开更多
With the rapid development of digital technologies such as big data,cloud computing,and the Internet of Things(loT),data security and privacy protection have become the core challenges facing modern computing systems....With the rapid development of digital technologies such as big data,cloud computing,and the Internet of Things(loT),data security and privacy protection have become the core challenges facing modern computing systems.Traditional security mechanisms are difficult to effectively deal with advanced adversarial attacks due to their reliance on a centralized trust model.In this context,the Trusted Execution Environment(TEE),as a hardware-enabled secure isolation technology,offers a potential solution to protect sensitive computations and data.This paper systematically discusses TEE's technical principle,application status,and future development trend.First,the underlying architecture of TEE and its core characteristics,including isolation,integrity,and confidentiality,are analyzed.Secondly,practical application cases of TEE in fields such as finance,the IoT,artificial intelligence,and privacy computing are studied.Finally,the future development direction of TEE is prospected.展开更多
The legacy of rural-urban developmental imbalance and China’s household registration institution(i.e.,the hukou system)stratify Chinese citizens into three populations—rural villagers,urban dwellers,and rural-to-urb...The legacy of rural-urban developmental imbalance and China’s household registration institution(i.e.,the hukou system)stratify Chinese citizens into three populations—rural villagers,urban dwellers,and rural-to-urban migrants.These groups differ in values,lifestyles,and socioeconomic status.They have also been assigned to different tiers of government control and services based upon their location and hukou identities.Effective governance of these diverse and divided populations in urbanizing China requires a deeper understanding of their potentially different political orientations and attitudes toward government and why such differences exist.However,despite their demographic significance—by 2014,China’s rural-to-urban migrant population had reached to 253 million—rural-to-urban migrants remain unrepresented in studies of Chinese people’s political trust,which focus more on either rural villagers or urban dwellers.This study addresses this gap by situating Chinese rural-to-urban migrants at the center of triadic analytical framework and comparing their trust in local(i.e.,county-level)government to two reference groups:rural villagers and urban dwellers.We utilize data from the China Family Panel Study(CFPS)in 2014 and employ the propensity score matching(PSM)method to match rural-to-urban migrants and rural villagers with comparable propensities to migrate.This matched comparison found that rural-to-urban migrants are 4.91%less trusting of their county government than their rural villager counterparts.This result reflects a negative“urban effect”:The urban society may erode political trust compared to rural environments.Then the method of mechanical matching(MM)is used to compare rural-to-urban migrants and urban dwellers.This matched comparison found that rural-to-urban migrants are 3.2%more trusting than their urban counterparts.This indicates that the migrant identity(i.e.,being a rural hukou holders in cities)is associated with higher trust levels.This geography of political trust signals a more complex rural-urban divide in the citizen-government relationship in China.Different populations’various relationship with local government therefore merits additional attention to place-based and population-specific policies to rebuild trust.展开更多
Background:Vaccine hesitancy remains a pressing global challenge,impacting the acceptance and distribution of both long-established and newly developed vaccines.This paper investigates the multifaceted nature of vacci...Background:Vaccine hesitancy remains a pressing global challenge,impacting the acceptance and distribution of both long-established and newly developed vaccines.This paper investigates the multifaceted nature of vaccine hesitancy,focusing on the development of the measles vaccine as a historical case study,while drawing comparisons to the coronavirus disease 2019(COVID-19)pandemic.Methods:The study employs a historical and comparative approach to analyze vaccine hesitancy.It examines how technological advances,public policy,and communication strategies have influenced vaccine acceptance.Key lessons from the development of the measles vaccine are compared with challenges encountered during the rapid development and deployment of COVID-19 vaccines.Results:Both historical and contemporary examples reveal commonalities and differences in addressing vaccine hesitancy.While the measles vaccine demonstrated the importance of long-term safety evaluations and public trust-building,the COVID-19 vaccine highlighted the challenges of rapid development timelines and combating misinformation in a digital age.The findings underscore the necessity of transparent communication,equitable access,and proactive engagement in overcoming hesitancy.Conclusion:Understanding the historical and contemporary dynamics of vaccine hesitancy is crucial for promoting public trust and equitable vaccination in an evolving global health landscape.Effective strategies,combining historical lessons with modern innovations,can address public concerns and enhance vaccine acceptance.展开更多
基金funded by the Sichuan Science and Technology Program,Grant Nos.2024NSFSC0515,2024ZHCG0182 and MZGC20230013.
文摘To solve the challenges of connecting and coordinating multiple platforms in the automotive industry and to enhance collaboration among different participants,this research focuses on addressing the complex supply relationships in the automotive market,improving data sharing and interactions across various platforms,and achieving more detailed integration of data and operations.We propose a trust evaluation permission delegation method based on the automotive industry chain.The proposed method combines smart contracts with trust evaluation mechanisms,dynamically calculating the trust value of users based on the historical behavior of the delegated entity,network environment,and other factors to avoid malicious node attacks during the permission delegation process.We also introduce strict control over the cross-domain permission granting and revocation mechanisms to manage the delegation path,prevent information leakage caused by malicious node interception,and effectively protect data integrity and privacy.Experimental analysis shows that this method meets the realtime requirements of collaborative interaction in the automotive industry chain and provides a feasible solution to permission delegation issues in the automotive industry chain,offering dynamic flexibility in authorization and scalability compared to most existing solutions.
文摘This study investigates the effects of AI-mediated communication (AMC) on trust-building and negotiation outcomes in professional remote collaboration settings. Through a mixed-methods approach combining experimental design and qualitative analysis (N = 120), we examine how AI intermediaries influence communication dynamics, relationship building, and decision-making processes. Results indicate that while AMC initially creates barriers to trust formation, it ultimately leads to enhanced communication outcomes and stronger professional relationships when implemented with appropriate transparency and support. The study revealed a 31% improvement in cross-cultural understanding and a 24% increase in negotiation satisfaction rates when using AI-mediated channels with proper transparency measures. These findings contribute to the theoretical understanding of technology-mediated communication and practical applications for organizations implementing AI communication tools.
基金funded by the National Natural Science Foundation of China,grant numbers(62272007,62001007)the Natural Science Foundation of Beijing,grant numbers(4234083,4212018)The authors also extend their appreciation to King Khalid University for funding this work through the Large Group Project under grant number RGP.2/373/45.
文摘Border Gateway Protocol(BGP),as the standard inter-domain routing protocol,is a distance-vector dynamic routing protocol used for exchanging routing information between distributed Autonomous Systems(AS).BGP nodes,communicating in a distributed dynamic environment,face several security challenges,with trust being one of the most important issues in inter-domain routing.Existing research,which performs trust evaluation when exchanging routing information to suppress malicious routing behavior,cannot meet the scalability requirements of BGP nodes.In this paper,we propose a blockchain-based trust model for inter-domain routing.Our model achieves scalability by allowing the master node of an AS alliance to transmit the trust evaluation data of its member nodes to the blockchain.The BGP nodes can expedite the trust evaluation process by accessing a global view of other BGP nodes through the master node of their respective alliance.We incorporate security service evaluation before direct evaluation and indirect recommendations to assess the security services that BGP nodes provide for themselves and prioritize to guarantee their security of routing service.We forward the trust evaluation for neighbor discovery and prioritize the nodes with high trust as neighbor nodes to reduce the malicious exchange routing behavior.We use simulation software to simulate a real BGP environments and employ a comparative experimental research approach to demonstrate the performance evaluation of our trust model.Compared with the classical trust model,our trust model not only saves more storage overhead,but also provides higher security,especially reducing the impact of collusion attacks.
文摘目的评估不同孕周应用苄星青霉素G对妊娠梅毒患者的疗效,及其对母婴结局和甲苯胺红不加热血清试验(TRUST)滴度的干预效果。方法回顾性选取2021年6月至2024年6月西北妇女儿童医院收治的98例妊娠梅毒患者,按不同孕周应用苄星青霉素G分为3组:孕早期组(≤13+6周,n=32)、孕中期组(14~27+6周,n=33)和孕晚期组(≥28周,n=33)。比较3组产妇治疗前、治疗2个疗程后的氧化应激指标[超氧化物歧化酶(SOD)、丙二醛、晚期氧化蛋白产物(AOPP)]水平、新生儿及产妇TRUST滴度比、产妇情况(产后出血率、早产率)及新生儿情况(先天梅毒儿、出生后5 min Apgar评分、体质量)。结果(1)较治疗前,3组产妇治疗2个疗程后血清SOD水平均更高,丙二醛、AOPP水平均更低,差异均有统计学意义(P<0.05);较孕早期组,孕中期组、孕晚期组产妇治疗2个疗程后SOD水平更低,丙二醛、AOPP水平更高,差异均有统计学意义(P<0.05)。(2)孕中期组、孕晚期组新生儿治疗后TRUST阴性率分别为30.30%、24.24%,较孕早期组(56.25%)更低,差异有统计学意义(P<0.05)。(3)孕中期组、孕晚期组产妇治疗后TRUST阴性率分别为9.09%、3.03%,较孕早期组(28.13%)更低,差异有统计学意义(P<0.05)。(4)较孕早期组,孕中期组、孕晚期组新生儿先天梅毒儿占比更高,出生后5 min Apgar评分、体质量更低,差异均有统计学意义(P<0.05)。结论妊娠梅毒患者孕早期应用苄星青霉素G疗效优于孕中期和孕晚期,对氧化应激改善更为显著,能进一步提升母婴TRUST阴性率及改善母婴结局。
文摘GS1 is an international standards organization,which focuses on product identification and product data,helping businesses and governments to improve commerce and supply chain.Why trusted data is essential to high-quality development?More than 50 years ago,GS1 was initiated with the bar code,a profound transformation of the way we work and live.From then on,a simple scan connected a physical product to its digital identity.It transformed commerce,improving supply chains and enabling safer healthcare.Collaboration between industry and governments,and a strong partnership with ISO and IEC laid the foundations for the global adoption of a common product identification over the past 50 years and all around the world.
文摘Nowadays,we are witnessing the tremendous changes brought by AI technologies.What role can standards play in this process?How can we build global trust and enable responsible innovation?
基金supported by National Key R&D Program of China (2019YFB2102303)National Natural Science Foundation of China (NSFC61971014,NSFC11675199)+2 种基金Beijing Postdoctoral Research Foundation (2021-ZZ-079)Young Backbone Teacher Training Program of Henan Colleges and Universities (2021GGJS170)Henan Province Higher Education Key Research Project (23B520014)。
文摘The core missions of IoT are to sense data,transmit data and give feedback to the real world based on the calculation of the sensed data.The trust of sensing source data and transmission network is extremely important to IoT security.5G-IoT with its low latency,wide connectivity and high-speed transmission extends the business scenarios of IoT,yet it also brings new challenges to trust proof solutions of IoT.Currently,there is a lack of efficient and reliable trust proof solutions for massive dynamically connected nodes,while the existing solutions have high computational complexity and can't adapt to time-sensitive services in 5G-IoT scenarios.In order to solve the above problems,this paper proposes an adaptive multi-dimensional trust proof solution.Firstly,the static and dynamic attributes of sensing nodes are metricized,and the historical interaction as well as the recommendation information are combined with the comprehensive metric of sensing nodes,and a multi-dimensional fine-grained trusted metric model is established in this paper.Then,based on the comprehensive metrics,the sensing nodes are logically grouped and assigned with service levels to achieve the screening and isolation of malicious nodes.At the same time,the proposed solution reduces the energy consumption of the metric process and optimizes the impact of real-time metrics on the interaction latency.Simulation experiments show that the solution can accurately and efficiently identify malicious nodes and effectively guarantee the safe and trustworthy operation of 5G-IoT nodes,while having a small impact on the latency of the 5G network.
基金supported by the National Natural Science Foundation of China(U22B2026)the ZTE Industry-Academia-Research Project(HC-CN-20221029003,IA20230628015)。
文摘With the introduction of 5G,users and devices can access the industrial network from anywhere in the world.Therefore,traditional perimeter-based security technologies for industrial networks can no longer work well.To solve this problem,a new security model called Zero Trust(ZT)is desired,which believes in“never trust and always verify”.Every time the asset in the industrial network is accessed,the subject is authenticated and its trustworthiness is assessed.In this way,the asset in industrial network can be well protected,whether the subject is in the internal network or the external network.However,in order to construct the zero trust model in the 5G Industrial Internet collaboration system,there are still many problems to be solved.In this paper,we first introduce the security issues in the 5G Industrial Internet collaboration system,and illustrate the zero trust architecture.Then,we analyze the gap between existing security techniques and the zero trust architecture.Finally,we discuss several potential security techniques that can be used to implement the zero trust model.The purpose of this paper is to point out the further direction for the realization of the Zero Trust Architecture(ZTA)in the 5G Industrial Internet collaboration system.
基金supported by Gansu Provincial Higher Education Teachers’Innovation Fund under Grant 2025A-124Key Research Project of Gansu University of Political Science and Law under Grant No.GZF2022XZD08Soft Science Special Project of Gansu Basic Research Plan under Grant No.22JR11RA106.
文摘In the complex environment of Wireless Sensor Networks(WSNs),various malicious attacks have emerged,among which internal attacks pose particularly severe security risks.These attacks seriously threaten network stability,data transmission reliability,and overall performance.To effectively address this issue and significantly improve intrusion detection speed,accuracy,and resistance to malicious attacks,this research designs a Three-level Intrusion Detection Model based on Dynamic Trust Evaluation(TIDM-DTE).This study conducts a detailed analysis of how different attack types impact node trust and establishes node models for data trust,communication trust,and energy consumption trust by focusing on characteristics such as continuous packet loss and energy consumption changes.By dynamically predicting node trust values using the grey Markov model,the model accurately and sensitively reflects changes in node trust levels during attacks.Additionally,DBSCAN(Density-Based Spatial Clustering of Applications with Noise)data noise monitoring technology is employed to quickly identify attacked nodes,while a trust recovery mechanism restores the trust of temporarily faulty nodes to reduce False Alarm Rate.Simulation results demonstrate that TIDM-DTE achieves high detection rates,fast detection speed,and low False Alarm Rate when identifying various network attacks,including selective forwarding attacks,Sybil attacks,switch attacks,and black hole attacks.TIDM-DTE significantly enhances network security,ensures secure and reliable data transmission,moderately improves network energy efficiency,reduces unnecessary energy consumption,and provides strong support for the stable operation of WSNs.Meanwhile,the research findings offer new ideas and methods for WSN security protection,possessing important theoretical significance and practical application value.
文摘Today,I want to share how international standards can forge trust and fuel innovation,laying the foundation for a future where AI benefits everyone,everywhere.First,AI standards,developed jointly by ISO and IEC-the International Electrotechnical Commission-help build global trust and enable responsible innovation by bringing clarity and coherence to an ever-changing AI landscape.As developments in AI continue to emerge at speed,regulation is struggling to keep up and the proliferation of competing standards has created confusion rather than clarity.ISO and our partner IEC are addressing this challenge through the work of our expert committee on AI,SC 42,which takes a holistic,cohesive approach to AI standardization.
基金Supported by the National Natural Science Foundation of China,No.82474207 and No.82405087Guangdong Basic and Applied Basic Research Foundation of China,No.2024A1515011014,No.2025A1515010371 and No.2025A1515012912+2 种基金Youth Science and Technology Talent Support Project of Jinan University Science and Technology Association,No.21624222the Fundamental Research Funds for the Central Universities,No.21624360the Research Fund Program of Guangdong Provincial Key Laboratory of Speed Capability Research,No.2023B1212010009.
文摘A recent study of patient-centered perspectives by Zhao et al,published in the World Journal of Psychiatry,identified key facilitators and barriers that influence insomnia patients’choice of acupuncture therapy,offering insights for clinical practice and policy-making to enhance the integration of acupuncture therapy into comprehensive insomnia management.While acupuncture demonstrates unique advantages as a complementary medical approach,its broader adoption is hindered by complex multidimensional factors.This paper proposes a“dynamic balance model”encompassing the cultural,economic,and patient-provider trust dimensions,and emphasizes the need for synergistic optimization through cultural narrative transformation,institutional innovation,and digital empowerment.These strategies aim to facilitate the promotion of acupuncture for insomnia treatment and its global expansion.
基金Guangdong Science and Technology University Young Projects(GKY-2023KYQNK-1 and GKY-2023KYQNK-10)Guangdong Provincial Key Discipline Research Capacity Improvement Project(2022ZDJS147)。
文摘Aiming at the problem that the data in the user rating matrix is missing and the importance of implicit trust between users is ignored when using the TrustSVD model to fill it,this paper proposes a recommendation algorithm based on TrustSVD++and XGBoost.Firstly,the explicit trust and implicit trust were introduced into the SVD++model to construct the TrustSVD++model.Secondly,considering that there is much data in the interaction matrix after filling,which may lead to a rather complex calculation process,the K-means algorithm is introduced to cluster and extract user and item features at the same time.Then,in order to improve the accuracy of rating prediction for target users,an XGBoost model is proposed to train user and item features,and finally,it is verified on the data sets MovieLens-1M and MovieLens-100k.Experiments show that compared with the SVD++model and the recommendation algorithm without XGBoost model training,the proposed algorithm has the RMSE value reduced by 2.9%and the MAE value reduced by 3%.
基金supported by the National Natural Science Foundation of China(Grants Nos.62473146,62072249 and 62072056)the National Science Foundation of Hunan Province(Grant No.2024JJ3017)+1 种基金the Hunan Provincial Key Research and Development Program(Grant No.2022GK2019)by the Researchers Supporting Project Number(RSP2024R509),King Saud University,Riyadh,Saudi Arabia.
文摘In the context of an increasingly severe cybersecurity landscape and the growing complexity of offensive and defen-sive techniques,Zero Trust Networks(ZTN)have emerged as a widely recognized technology.Zero Trust not only addresses the shortcomings of traditional perimeter security models but also consistently follows the fundamental principle of“never trust,always verify.”Initially proposed by John Cortez in 2010 and subsequently promoted by Google,the Zero Trust model has become a key approach to addressing the ever-growing security threats in complex network environments.This paper systematically compares the current mainstream cybersecurity models,thoroughly explores the advantages and limitations of the Zero Trust model,and provides an in-depth review of its components and key technologies.Additionally,it analyzes the latest research achievements in the application of Zero Trust technology across various fields,including network security,6G networks,the Internet of Things(IoT),and cloud computing,in the context of specific use cases.The paper also discusses the innovative contributions of the Zero Trust model in these fields,the challenges it faces,and proposes corresponding solutions and future research directions.
基金funded by Haikou Science and Technology Plan Project(2022-007),in part by key Laboratory of PK System Technologies Research of Hainan,China.
文摘In the data transaction process within a data asset trading platform,quantifying the trustworthiness of data source nodes is challenging due to their numerous attributes and complex structures.To address this issue,a distributed data source trust assessment management framework,a trust quantification model,and a dynamic adjustment mechanism are proposed.Themodel integrates the Analytic Hierarchy Process(AHP)and Dempster-Shafer(D-S)evidence theory to determine attribute weights and calculate direct trust values,while the PageRank algorithm is employed to derive indirect trust values.Thedirect and indirect trust values are then combined to compute the comprehensive trust value of the data source.Furthermore,a dynamic adjustment mechanism is introduced to continuously update the comprehensive trust value based on historical assessment data.By leveraging the collaborative efforts of multiple nodes in the distributed network,the proposed framework enables a comprehensive,dynamic,and objective evaluation of data source trustworthiness.Extensive experimental analyses demonstrate that the trust quantification model effectively handles large-scale data source trust assessments,exhibiting both strong trust differentiation capability and high robustness.
文摘With the rapid development of digital technologies such as big data,cloud computing,and the Internet of Things(loT),data security and privacy protection have become the core challenges facing modern computing systems.Traditional security mechanisms are difficult to effectively deal with advanced adversarial attacks due to their reliance on a centralized trust model.In this context,the Trusted Execution Environment(TEE),as a hardware-enabled secure isolation technology,offers a potential solution to protect sensitive computations and data.This paper systematically discusses TEE's technical principle,application status,and future development trend.First,the underlying architecture of TEE and its core characteristics,including isolation,integrity,and confidentiality,are analyzed.Secondly,practical application cases of TEE in fields such as finance,the IoT,artificial intelligence,and privacy computing are studied.Finally,the future development direction of TEE is prospected.
基金The research results of this paper are sponsored by Kunshan Municipal Government Research Funding.
文摘The legacy of rural-urban developmental imbalance and China’s household registration institution(i.e.,the hukou system)stratify Chinese citizens into three populations—rural villagers,urban dwellers,and rural-to-urban migrants.These groups differ in values,lifestyles,and socioeconomic status.They have also been assigned to different tiers of government control and services based upon their location and hukou identities.Effective governance of these diverse and divided populations in urbanizing China requires a deeper understanding of their potentially different political orientations and attitudes toward government and why such differences exist.However,despite their demographic significance—by 2014,China’s rural-to-urban migrant population had reached to 253 million—rural-to-urban migrants remain unrepresented in studies of Chinese people’s political trust,which focus more on either rural villagers or urban dwellers.This study addresses this gap by situating Chinese rural-to-urban migrants at the center of triadic analytical framework and comparing their trust in local(i.e.,county-level)government to two reference groups:rural villagers and urban dwellers.We utilize data from the China Family Panel Study(CFPS)in 2014 and employ the propensity score matching(PSM)method to match rural-to-urban migrants and rural villagers with comparable propensities to migrate.This matched comparison found that rural-to-urban migrants are 4.91%less trusting of their county government than their rural villager counterparts.This result reflects a negative“urban effect”:The urban society may erode political trust compared to rural environments.Then the method of mechanical matching(MM)is used to compare rural-to-urban migrants and urban dwellers.This matched comparison found that rural-to-urban migrants are 3.2%more trusting than their urban counterparts.This indicates that the migrant identity(i.e.,being a rural hukou holders in cities)is associated with higher trust levels.This geography of political trust signals a more complex rural-urban divide in the citizen-government relationship in China.Different populations’various relationship with local government therefore merits additional attention to place-based and population-specific policies to rebuild trust.
基金supported by The National Key Research and Development Program(Grant No.2024YFA0917200)University of Science and Technology of China(Grant No.2024YCHX07)Chinese Academy of Sciences(Grant No.CX2110240028).
文摘Background:Vaccine hesitancy remains a pressing global challenge,impacting the acceptance and distribution of both long-established and newly developed vaccines.This paper investigates the multifaceted nature of vaccine hesitancy,focusing on the development of the measles vaccine as a historical case study,while drawing comparisons to the coronavirus disease 2019(COVID-19)pandemic.Methods:The study employs a historical and comparative approach to analyze vaccine hesitancy.It examines how technological advances,public policy,and communication strategies have influenced vaccine acceptance.Key lessons from the development of the measles vaccine are compared with challenges encountered during the rapid development and deployment of COVID-19 vaccines.Results:Both historical and contemporary examples reveal commonalities and differences in addressing vaccine hesitancy.While the measles vaccine demonstrated the importance of long-term safety evaluations and public trust-building,the COVID-19 vaccine highlighted the challenges of rapid development timelines and combating misinformation in a digital age.The findings underscore the necessity of transparent communication,equitable access,and proactive engagement in overcoming hesitancy.Conclusion:Understanding the historical and contemporary dynamics of vaccine hesitancy is crucial for promoting public trust and equitable vaccination in an evolving global health landscape.Effective strategies,combining historical lessons with modern innovations,can address public concerns and enhance vaccine acceptance.
