The Internet of Things (IoT) and edge-assisted networking infrastructures are capable of bringing data processing and accessibility services locally at the respective edge rather than at a centralized module. These in...The Internet of Things (IoT) and edge-assisted networking infrastructures are capable of bringing data processing and accessibility services locally at the respective edge rather than at a centralized module. These infrastructures are very effective in providing a fast response to the respective queries of the requesting modules, but their distributed nature has introduced other problems such as security and privacy. To address these problems, various security-assisted communication mechanisms have been developed to safeguard every active module, i.e., devices and edges, from every possible vulnerability in the IoT. However, these methodologies have neglected one of the critical issues, which is the prediction of fraudulent devices, i.e., adversaries, preferably as early as possible in the IoT. In this paper, a hybrid communication mechanism is presented where the Hidden Markov Model (HMM) predicts the legitimacy of the requesting device (both source and destination), and the Advanced Encryption Standard (AES) safeguards the reliability of the transmitted data over a shared communication medium, preferably through a secret shared key, i.e., , and timestamp information. A device becomes trusted if it has passed both evaluation levels, i.e., HMM and message decryption, within a stipulated time interval. The proposed hybrid, along with existing state-of-the-art approaches, has been simulated in the realistic environment of the IoT to verify the security measures. These evaluations were carried out in the presence of intruders capable of launching various attacks simultaneously, such as man-in-the-middle, device impersonations, and masquerading attacks. Moreover, the proposed approach has been proven to be more effective than existing state-of-the-art approaches due to its exceptional performance in communication, processing, and storage overheads, i.e., 13%, 19%, and 16%, respectively. Finally, the proposed hybrid approach is pruned against well-known security attacks in the IoT.展开更多
Based on the analysis of the covert channel＇s working mechanism of the internet control message protocol （ICMP） in internet protocol version 4 （IPv4） and Internet Protocol version 6 （IPv6）, the ICMP covert cha...Based on the analysis of the covert channel＇s working mechanism of the internet control message protocol （ICMP） in internet protocol version 4 （IPv4） and Internet Protocol version 6 （IPv6）, the ICMP covert channd＇s algorithms of the IPv4 and IPv6 are presented, which enable automatic channeling upon IPv4/v6 nodes with non-IPv4-compatible address, and the key transmission is achieved by using this channel in the embedded Internet terminal. The result shows that the covert channel＇s algorithm, which we implemented if, set correct, the messages of this covert channel might go through the gateway and enter the local area network.展开更多
The development of the Internet of Things(IoT)has brought great convenience to people.However,some information security problems such as privacy leakage are caused by communicating with risky users.It is a challenge t...The development of the Internet of Things(IoT)has brought great convenience to people.However,some information security problems such as privacy leakage are caused by communicating with risky users.It is a challenge to choose reliable users with which to interact in the IoT.Therefore,trust plays a crucial role in the IoT because trust may avoid some risks.Agents usually choose reliable users with high trust to maximize their own interests based on reinforcement learning.However,trust propagation is time-consuming,and trust changes with the interaction process in social networks.To track the dynamic changes in trust values,a dynamic trust inference algorithm named Dynamic Double DQN Trust(Dy-DDQNTrust)is proposed to predict the indirect trust values of two users without direct contact with each other.The proposed algorithm simulates the interactions among users by double DQN.Firstly,CurrentNet and TargetNet networks are used to select users for interaction.The users with high trust are chosen to interact in future iterations.Secondly,the trust value is updated dynamically until a reliable trust path is found according to the result of the interaction.Finally,the trust value between indirect users is inferred by aggregating the opinions from multiple users through a Modified Collaborative Filtering Averagebased Similarity(SMCFAvg)aggregation strategy.Experiments are carried out on the FilmTrust and the Epinions datasets.Compared with TidalTrust,MoleTrust,DDQNTrust,DyTrust and Dynamic Weighted Heuristic trust path Search algorithm(DWHS),our dynamic trust inference algorithm has higher prediction accuracy and better scalability.展开更多
Based on survey data from 832 maize growers of four major maize production regions in China,on-farm maize losses were assessed and the effects of Internet access to agricultural information on the losses were evaluate...Based on survey data from 832 maize growers of four major maize production regions in China,on-farm maize losses were assessed and the effects of Internet access to agricultural information on the losses were evaluated.The results showed that on average 4.5%,4.0%and 3.7%of maize was lost in the harvest,drying and storage stages,respectively.This indicated that at the farm level,19 Mt of maize is lost annually in China,and these losses have considerable economic,resource and environmental impacts.Additionally,Internet-based access to agricultural information was found to be positively related to reduced maize losses.Compared with farmers who do not access agricultural information from the Internet,farmers with Internet-based access to agricultural information experienced 3.2%,1.5%and 3.6%lower losses in the maize harvest,drying,and storage stages,respectively.Therefore,enhancing farmers access to agricultural information could increase the maize supply by 7.89 Mt and enhance the utilization of 1.02 Mha of farmland.Additionally,0.39 Mt of fertilizer could be saved,and the carbon emission and water usage could be reduced.It is recommended that the government accelerate the removal of barriers to farmers using the Internet to access agricultural information.展开更多
Clarifying the relationship between internet use and public information security risk perception helps us gain a better understanding of the factors influencing public risk perception.However,the relationship is still...Clarifying the relationship between internet use and public information security risk perception helps us gain a better understanding of the factors influencing public risk perception.However,the relationship is still under-explored.This paper empirically examines the relationship between internet use and information security risk perception based on data from the 2021 Chinese Social Survey.It was found that whether to use the internet and the frequency of use are both significantly positively correlated with the perception of information security risk.On this basis,the mechanism by which internet use affects public information security risk perceptions is verified from the perspective of interpersonal trust.The mechanism analysis found that interpersonal trust exerts an indirect effect between internet use and perceived information security risk.The findings of this study provide new insights for our further understanding of how internet use affects residents'perceptions of securityrisk.展开更多
With the development of the internet and the increasing role played by information technology in the economy,personal information protection has become one of the most significant legal and public policy problems.Sinc...With the development of the internet and the increasing role played by information technology in the economy,personal information protection has become one of the most significant legal and public policy problems.Since 2013,China has accelerated its legislation efforts towards protecting personal information.The Cybersecurity Law of the People's Republic of China took effect on June 1,2017.Legal scholars focus on the nature of personal information,discuss the necessity of enacting specific laws on protecting personal information,and attempt to propose relevant draft laws regarding personal information protection.Personal information protection,however,is not only a legal issue but also a political one.We need to look at the decision-making process about legislation on personal information protection in China.Why has China sped up its legislation on personal information protection since 2013?Is privacy,civil rights,or legal interest the main reason behind the legislation?Only after placing personal information protection legislation in a broader context,can we have a better understanding of the underlying logic and dynamics of personal information protection in China,and can perceive the potential content and possible future of these legislation.This paper argues that Internet industry development,the social consequences of personal information infringement,and national security are the main drivers of China's personal information protection legislation.展开更多
The customer driven dynamic global market and geographical distribution of collaborating partners bring new challenges to the development of quality assurance information system (QAIS) for agile manufacturing. With re...The customer driven dynamic global market and geographical distribution of collaborating partners bring new challenges to the development of quality assurance information system (QAIS) for agile manufacturing. With recent dramatic advances in information technology, firstly the requirements of QAIS are examined in agile manufacturing environment, then a new implementation framework of a distributed QAIS is presented, where a deve loping environment of QAIS is established and some critical techniques are studied. Finally a prototype system based on world wide web (WWW) is accomplished.展开更多
基金supported by the Deanship of Graduate Studies and Scientific Research at Qassim University via Grant No.(QU-APC-2025).
文摘The Internet of Things (IoT) and edge-assisted networking infrastructures are capable of bringing data processing and accessibility services locally at the respective edge rather than at a centralized module. These infrastructures are very effective in providing a fast response to the respective queries of the requesting modules, but their distributed nature has introduced other problems such as security and privacy. To address these problems, various security-assisted communication mechanisms have been developed to safeguard every active module, i.e., devices and edges, from every possible vulnerability in the IoT. However, these methodologies have neglected one of the critical issues, which is the prediction of fraudulent devices, i.e., adversaries, preferably as early as possible in the IoT. In this paper, a hybrid communication mechanism is presented where the Hidden Markov Model (HMM) predicts the legitimacy of the requesting device (both source and destination), and the Advanced Encryption Standard (AES) safeguards the reliability of the transmitted data over a shared communication medium, preferably through a secret shared key, i.e., , and timestamp information. A device becomes trusted if it has passed both evaluation levels, i.e., HMM and message decryption, within a stipulated time interval. The proposed hybrid, along with existing state-of-the-art approaches, has been simulated in the realistic environment of the IoT to verify the security measures. These evaluations were carried out in the presence of intruders capable of launching various attacks simultaneously, such as man-in-the-middle, device impersonations, and masquerading attacks. Moreover, the proposed approach has been proven to be more effective than existing state-of-the-art approaches due to its exceptional performance in communication, processing, and storage overheads, i.e., 13%, 19%, and 16%, respectively. Finally, the proposed hybrid approach is pruned against well-known security attacks in the IoT.
基金Supported by the National Natural Science Foun-dation of China (90104005 ,66973034)
文摘Based on the analysis of the covert channel＇s working mechanism of the internet control message protocol （ICMP） in internet protocol version 4 （IPv4） and Internet Protocol version 6 （IPv6）, the ICMP covert channd＇s algorithms of the IPv4 and IPv6 are presented, which enable automatic channeling upon IPv4/v6 nodes with non-IPv4-compatible address, and the key transmission is achieved by using this channel in the embedded Internet terminal. The result shows that the covert channel＇s algorithm, which we implemented if, set correct, the messages of this covert channel might go through the gateway and enter the local area network.
基金supported by the National Natural Science Foundation of China(62072392)the National Natural Science Foundation of China(61972360)the Major Scientific and Technological Innovation Projects of Shandong Province(2019522Y020131).
文摘The development of the Internet of Things(IoT)has brought great convenience to people.However,some information security problems such as privacy leakage are caused by communicating with risky users.It is a challenge to choose reliable users with which to interact in the IoT.Therefore,trust plays a crucial role in the IoT because trust may avoid some risks.Agents usually choose reliable users with high trust to maximize their own interests based on reinforcement learning.However,trust propagation is time-consuming,and trust changes with the interaction process in social networks.To track the dynamic changes in trust values,a dynamic trust inference algorithm named Dynamic Double DQN Trust(Dy-DDQNTrust)is proposed to predict the indirect trust values of two users without direct contact with each other.The proposed algorithm simulates the interactions among users by double DQN.Firstly,CurrentNet and TargetNet networks are used to select users for interaction.The users with high trust are chosen to interact in future iterations.Secondly,the trust value is updated dynamically until a reliable trust path is found according to the result of the interaction.Finally,the trust value between indirect users is inferred by aggregating the opinions from multiple users through a Modified Collaborative Filtering Averagebased Similarity(SMCFAvg)aggregation strategy.Experiments are carried out on the FilmTrust and the Epinions datasets.Compared with TidalTrust,MoleTrust,DDQNTrust,DyTrust and Dynamic Weighted Heuristic trust path Search algorithm(DWHS),our dynamic trust inference algorithm has higher prediction accuracy and better scalability.
基金supported by the National Natural Science Foundation of China(72241009,72241010,and 72403236)the National Social Science Foundation of China(22&ZD087)the Major Projects on Philosophy and Social Sciences of The Ministry of Education of China(23JZD023).
文摘Based on survey data from 832 maize growers of four major maize production regions in China,on-farm maize losses were assessed and the effects of Internet access to agricultural information on the losses were evaluated.The results showed that on average 4.5%,4.0%and 3.7%of maize was lost in the harvest,drying and storage stages,respectively.This indicated that at the farm level,19 Mt of maize is lost annually in China,and these losses have considerable economic,resource and environmental impacts.Additionally,Internet-based access to agricultural information was found to be positively related to reduced maize losses.Compared with farmers who do not access agricultural information from the Internet,farmers with Internet-based access to agricultural information experienced 3.2%,1.5%and 3.6%lower losses in the maize harvest,drying,and storage stages,respectively.Therefore,enhancing farmers access to agricultural information could increase the maize supply by 7.89 Mt and enhance the utilization of 1.02 Mha of farmland.Additionally,0.39 Mt of fertilizer could be saved,and the carbon emission and water usage could be reduced.It is recommended that the government accelerate the removal of barriers to farmers using the Internet to access agricultural information.
基金supported by the National Social Science Fund of China"Research on Urban Compound Risk Analysis and Governance Based on Large-Scale Survey Data"(23&ZD144).
文摘Clarifying the relationship between internet use and public information security risk perception helps us gain a better understanding of the factors influencing public risk perception.However,the relationship is still under-explored.This paper empirically examines the relationship between internet use and information security risk perception based on data from the 2021 Chinese Social Survey.It was found that whether to use the internet and the frequency of use are both significantly positively correlated with the perception of information security risk.On this basis,the mechanism by which internet use affects public information security risk perceptions is verified from the perspective of interpersonal trust.The mechanism analysis found that interpersonal trust exerts an indirect effect between internet use and perceived information security risk.The findings of this study provide new insights for our further understanding of how internet use affects residents'perceptions of securityrisk.
文摘With the development of the internet and the increasing role played by information technology in the economy,personal information protection has become one of the most significant legal and public policy problems.Since 2013,China has accelerated its legislation efforts towards protecting personal information.The Cybersecurity Law of the People's Republic of China took effect on June 1,2017.Legal scholars focus on the nature of personal information,discuss the necessity of enacting specific laws on protecting personal information,and attempt to propose relevant draft laws regarding personal information protection.Personal information protection,however,is not only a legal issue but also a political one.We need to look at the decision-making process about legislation on personal information protection in China.Why has China sped up its legislation on personal information protection since 2013?Is privacy,civil rights,or legal interest the main reason behind the legislation?Only after placing personal information protection legislation in a broader context,can we have a better understanding of the underlying logic and dynamics of personal information protection in China,and can perceive the potential content and possible future of these legislation.This paper argues that Internet industry development,the social consequences of personal information infringement,and national security are the main drivers of China's personal information protection legislation.
文摘The customer driven dynamic global market and geographical distribution of collaborating partners bring new challenges to the development of quality assurance information system (QAIS) for agile manufacturing. With recent dramatic advances in information technology, firstly the requirements of QAIS are examined in agile manufacturing environment, then a new implementation framework of a distributed QAIS is presented, where a deve loping environment of QAIS is established and some critical techniques are studied. Finally a prototype system based on world wide web (WWW) is accomplished.
