This paper focuses on the improvement of traditional email system architecture with the help of blockchain technology in the existing network environment. The improved system architecture can better improve the securi...This paper focuses on the improvement of traditional email system architecture with the help of blockchain technology in the existing network environment. The improved system architecture can better improve the security and stability of the system. The email content is extracted and stored in the blockchain network to achieve regulatory traceability between the email service provider and the higher-level organization. In turn, A Blockchain-based Upgraded Email System(BUES) is proposed. The defects of the existing traditional email system are addressed. Firstly, the threat model of the traditional email system is analyzed, and solutions are proposed for various threats. Then a system architecture consisting of the blockchain network, email servers, and users are constructed. The implementation of BUES is carried out, and the related experimental process and algorithm steps are given. After the experimental analysis, it is shown that BUES can ensure the security, reliability, efficiency, and traceability of email transmission.展开更多
Road networks have been used in a wide range of applications to reduces the cost of transportation and improve the quality of related services.The shortest road distance computation has been considered as one of the m...Road networks have been used in a wide range of applications to reduces the cost of transportation and improve the quality of related services.The shortest road distance computation has been considered as one of the most fundamental operations of road networks computation.To alleviate privacy concerns about location privacy leaks during road distance computation,it is desirable to have a secure and efficient road distance computation approach.In this paper,we propose two secure road distance computation approaches,which can compute road distance over encrypted data efficiently.An approximate road distance computation approach is designed by using Partially Homomorphic Encryption and road network set embedding.An exact road distance computation is built by using Somewhat Homomorphic Encryption and road network hypercube embedding.We implement our two road distance computation approaches,and evaluate them on the real cityscale road network.Evaluation results show that our approaches are accurate and efficient.展开更多
This study addresses the challenge of detecting replay attacks within the stable states in vehicular platoons.In accordance with the zonotopic set-membership filtering algorithm,the detection of attacks is conducted b...This study addresses the challenge of detecting replay attacks within the stable states in vehicular platoons.In accordance with the zonotopic set-membership filtering algorithm,the detection of attacks is conducted by evaluating the presence of an intersection between the prediction set and the measurement set.In the stable state of the vehicle platoon,replay attacks may potentially bypass attack detectors based on the set-membership filtering algorithm.To address the replay attack false negative issue,a watermark design scheme based on Markovian-Bernoulli processes is proposed,and the impacts of this watermark design on system performance and attack detection capability are discussed.By addressing pertinent optimization problems,effective parameters selection for the watermark is achieved,striking a balance between security and control performance.The effectiveness of this method is validated through numerical simulations.展开更多
In recent years,e-sports has rapidly developed,and the industry has produced large amounts of data with specifications,and these data are easily to be obtained.Due to the above characteristics,data mining and deep lea...In recent years,e-sports has rapidly developed,and the industry has produced large amounts of data with specifications,and these data are easily to be obtained.Due to the above characteristics,data mining and deep learning methods can be used to guide players and develop appropriate strategies to win games.As one of the world’s most famous e-sports events,Dota2 has a large audience base and a good game system.A victory in a game is often associated with a hero’s match,and players are often unable to pick the best lineup to compete.To solve this problem,in this paper,we present an improved bidirectional Long Short-Term Memory(LSTM)neural network model for Dota2 lineup recommendations.The model uses the Continuous Bag Of Words(CBOW)model in the Word2 vec model to generate hero vectors.The CBOW model can predict the context of a word in a sentence.Accordingly,a word is transformed into a hero,a sentence into a lineup,and a word vector into a hero vector,the model applied in this article recommends the last hero according to the first four heroes selected first,thereby solving a series of recommendation problems.展开更多
Although local governments in China are encouraging the development of blockchain technology,the regional clustering of the blockchain industry still shows obvious differentiation.We use blockchain industry-related da...Although local governments in China are encouraging the development of blockchain technology,the regional clustering of the blockchain industry still shows obvious differentiation.We use blockchain industry-related data during the period 2012–2019 to calculate the blockchain industrial clustering of each province in China.We find that the clustering state of the blockchain industry is quite different from the state of other industries and the situation of economic development in the same region.In less-developed regions,the blockchain industry is more prominent,which may benefit from local government management.We conduct an empirical analysis on the relationship between blockchain industrial clustering and regional government management using the generalized method of moments(GMM)of a dynamic panel.The results show that government management has a positive promoting effect on local blockchain industrial clustering as a whole,among which the promotion from economy,technology,infrastructure and policy is more significant.展开更多
基金supported by the China Mobile Research Foundation of the Ministry of Education (No. MCM20180401)State Administration of Science, Technology and Industry for National Defence, PRC (NO.JCKY2020602B008)
文摘This paper focuses on the improvement of traditional email system architecture with the help of blockchain technology in the existing network environment. The improved system architecture can better improve the security and stability of the system. The email content is extracted and stored in the blockchain network to achieve regulatory traceability between the email service provider and the higher-level organization. In turn, A Blockchain-based Upgraded Email System(BUES) is proposed. The defects of the existing traditional email system are addressed. Firstly, the threat model of the traditional email system is analyzed, and solutions are proposed for various threats. Then a system architecture consisting of the blockchain network, email servers, and users are constructed. The implementation of BUES is carried out, and the related experimental process and algorithm steps are given. After the experimental analysis, it is shown that BUES can ensure the security, reliability, efficiency, and traceability of email transmission.
基金This work was partially supported by National Natural Science Foundation of China(Grant Nos.61601146,61732022)National Key R&D Program of China(Grant No.2016QY05X1000).
文摘Road networks have been used in a wide range of applications to reduces the cost of transportation and improve the quality of related services.The shortest road distance computation has been considered as one of the most fundamental operations of road networks computation.To alleviate privacy concerns about location privacy leaks during road distance computation,it is desirable to have a secure and efficient road distance computation approach.In this paper,we propose two secure road distance computation approaches,which can compute road distance over encrypted data efficiently.An approximate road distance computation approach is designed by using Partially Homomorphic Encryption and road network set embedding.An exact road distance computation is built by using Somewhat Homomorphic Encryption and road network hypercube embedding.We implement our two road distance computation approaches,and evaluate them on the real cityscale road network.Evaluation results show that our approaches are accurate and efficient.
基金supported by the National Key Research and Development Program of China(Grant No.2022YFB3104900)the National Natural Science Foundation of China(Grant Nos.92067204,62103015).
文摘This study addresses the challenge of detecting replay attacks within the stable states in vehicular platoons.In accordance with the zonotopic set-membership filtering algorithm,the detection of attacks is conducted by evaluating the presence of an intersection between the prediction set and the measurement set.In the stable state of the vehicle platoon,replay attacks may potentially bypass attack detectors based on the set-membership filtering algorithm.To address the replay attack false negative issue,a watermark design scheme based on Markovian-Bernoulli processes is proposed,and the impacts of this watermark design on system performance and attack detection capability are discussed.By addressing pertinent optimization problems,effective parameters selection for the watermark is achieved,striking a balance between security and control performance.The effectiveness of this method is validated through numerical simulations.
基金the Guangdong Province Key Research and Development Plan(No.2019B010137004)the National Natural Science Foundation of China(Nos.61402149 and 61871140)+3 种基金the Scientific and Technological Project of Henan Province(Nos.182102110065,182102210238,and 202102310340)the Natural Science Foundation of Henan Educational Committee(No.17B520006)Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme(2019)Foundation of University Young Key Teacher of Henan Province(No.2019GGJS040)。
文摘In recent years,e-sports has rapidly developed,and the industry has produced large amounts of data with specifications,and these data are easily to be obtained.Due to the above characteristics,data mining and deep learning methods can be used to guide players and develop appropriate strategies to win games.As one of the world’s most famous e-sports events,Dota2 has a large audience base and a good game system.A victory in a game is often associated with a hero’s match,and players are often unable to pick the best lineup to compete.To solve this problem,in this paper,we present an improved bidirectional Long Short-Term Memory(LSTM)neural network model for Dota2 lineup recommendations.The model uses the Continuous Bag Of Words(CBOW)model in the Word2 vec model to generate hero vectors.The CBOW model can predict the context of a word in a sentence.Accordingly,a word is transformed into a hero,a sentence into a lineup,and a word vector into a hero vector,the model applied in this article recommends the last hero according to the first four heroes selected first,thereby solving a series of recommendation problems.
基金supported by The National Key Research and Development Program of China (2020YFB1006104)the Financial support from the Innovation and Talent Base for Digital Technology and Finance (B21038).
文摘Although local governments in China are encouraging the development of blockchain technology,the regional clustering of the blockchain industry still shows obvious differentiation.We use blockchain industry-related data during the period 2012–2019 to calculate the blockchain industrial clustering of each province in China.We find that the clustering state of the blockchain industry is quite different from the state of other industries and the situation of economic development in the same region.In less-developed regions,the blockchain industry is more prominent,which may benefit from local government management.We conduct an empirical analysis on the relationship between blockchain industrial clustering and regional government management using the generalized method of moments(GMM)of a dynamic panel.The results show that government management has a positive promoting effect on local blockchain industrial clustering as a whole,among which the promotion from economy,technology,infrastructure and policy is more significant.
