Fog computing has emerged as an important technology which can improve the performance of computation-intensive and latency-critical communication networks.Nevertheless,the fog computing Internet-of-Things(IoT)systems...Fog computing has emerged as an important technology which can improve the performance of computation-intensive and latency-critical communication networks.Nevertheless,the fog computing Internet-of-Things(IoT)systems are susceptible to malicious eavesdropping attacks during the information transmission,and this issue has not been adequately addressed.In this paper,we propose a physical-layer secure fog computing IoT system model,which is able to improve the physical layer security of fog computing IoT networks against the malicious eavesdropping of multiple eavesdroppers.The secrecy rate of the proposed model is analyzed,and the quantum galaxy–based search algorithm(QGSA)is proposed to solve the hybrid task scheduling and resource management problem of the network.The computational complexity and convergence of the proposed algorithm are analyzed.Simulation results validate the efficiency of the proposed model and reveal the influence of various environmental parameters on fog computing IoT networks.Moreover,the simulation results demonstrate that the proposed hybrid task scheduling and resource management scheme can effectively enhance secrecy performance across different communication scenarios.展开更多
Currently computing information systems have entered a new stage and the security of systems is more and more serious, and the research on system security is developing in depth. This paper discusses neuro-computing a...Currently computing information systems have entered a new stage and the security of systems is more and more serious, and the research on system security is developing in depth. This paper discusses neuro-computing applications in security of network information systems.展开更多
In recent years cloud computing is the subject of extensive research in the emerging field of information technology and has become a promising business.The reason behind this widespread interest is its abilityto incr...In recent years cloud computing is the subject of extensive research in the emerging field of information technology and has become a promising business.The reason behind this widespread interest is its abilityto increase the capacity and capability of enterprises,having no investment for new infrastructure,no software license requirement and no need of any training.Security concern is the main limitation factor in the growth of this new born technology.The security responsibilities of both,the provider and the consumer greatly differ between cloud service models.In this paper we discuss a variety of security risks,authentication issues,trust,and legal regularity in cloud environment with consumer perspective.Early research focused only on technical and business consequences of cloud computing and ignored consumer perspective.Therefore,this paper discusses the consumer security and privacy preferences.展开更多
基金supported by the National Natural Science Foundation of China(61571149,62001139)the Initiation Fund for Postdoctoral Research in Heilongjiang Province(LBH-Q19098)the Natural Science Foundation of Heilongjiang Province(LH2020F0178).
文摘Fog computing has emerged as an important technology which can improve the performance of computation-intensive and latency-critical communication networks.Nevertheless,the fog computing Internet-of-Things(IoT)systems are susceptible to malicious eavesdropping attacks during the information transmission,and this issue has not been adequately addressed.In this paper,we propose a physical-layer secure fog computing IoT system model,which is able to improve the physical layer security of fog computing IoT networks against the malicious eavesdropping of multiple eavesdroppers.The secrecy rate of the proposed model is analyzed,and the quantum galaxy–based search algorithm(QGSA)is proposed to solve the hybrid task scheduling and resource management problem of the network.The computational complexity and convergence of the proposed algorithm are analyzed.Simulation results validate the efficiency of the proposed model and reveal the influence of various environmental parameters on fog computing IoT networks.Moreover,the simulation results demonstrate that the proposed hybrid task scheduling and resource management scheme can effectively enhance secrecy performance across different communication scenarios.
基金This project was supported by the Foundation of State Key Lab for Software Engineering at Wuhan University.
文摘Currently computing information systems have entered a new stage and the security of systems is more and more serious, and the research on system security is developing in depth. This paper discusses neuro-computing applications in security of network information systems.
文摘In recent years cloud computing is the subject of extensive research in the emerging field of information technology and has become a promising business.The reason behind this widespread interest is its abilityto increase the capacity and capability of enterprises,having no investment for new infrastructure,no software license requirement and no need of any training.Security concern is the main limitation factor in the growth of this new born technology.The security responsibilities of both,the provider and the consumer greatly differ between cloud service models.In this paper we discuss a variety of security risks,authentication issues,trust,and legal regularity in cloud environment with consumer perspective.Early research focused only on technical and business consequences of cloud computing and ignored consumer perspective.Therefore,this paper discusses the consumer security and privacy preferences.
基金国家自然科学基金项目(62202090,62173101)辽宁省博士启动基金(2022-BS-077)+3 种基金中央高校基本科研业务费(N2417006)辽宁网络安全执法协同创新中心课题(XTCX2024-015)资助by Liaoning Province Natural Science Foundation Medical-Engineering Cross Joint Fund under Grant 2022-YGJC-24by the Fundamental Research Funds for the Central Universities under Grant N2217009.
