Visible to the public Biblio

Filters: Author is Chen, Wenbin  [Clear All Filters]
2022-05-19
Wu, Peiyan, Chen, Wenbin, Wu, Hualin, Qi, Ke, Liu, Miao.  2021.  Enhanced Game Theoretical Spectrum Sharing Method Based on Blockchain Consensus. 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall). :1–7.
The limited spectrum resources need to provide safe and efficient spectrum service for the intensive users. Malicious spectrum work nodes will affect the normal operation of the entire system. Using the blockchain model, consensus algorithm Praft based on optimized Raft is to solve the consensus problem in Byzantine environment. Message digital signatures give the spectrum node some fault tolerance and tamper resistance. Spectrum sharing among spectrum nodes is carried out in combination with game theory. The existing game theoretical algorithm does not consider the influence of spectrum occupancy of primary users and cognitive users on primary users' utility and enthusiasm at the same time. We elicits a reinforcement factor and analyzes the effect of the reinforcement factor on strategy performance. This scheme optimizes the previous strategy so that the profits of spectrum nodes are improved and a good Nash equilibrium is shown, while Praft solves the Byzantine problem left by Raft.
2022-02-07
Chen, Wenbin, Chen, Yuxin, Jiao, Yishuo, Liu, Quanchun.  2021.  Security Awareness Scheme of Edge Computing in IoT Systems. 2021 IEEE 4th International Conference on Computer and Communication Engineering Technology (CCET). :332–335.
As edge computing has been widely used in IoT (Internet of Things) systems, the security has become one of important issues for IoT. Because of a large amount of private information stored in edge computing devices, it makes edge computing devices attractive to various kinds attacks. To deal with this challenge, this paper proposes a security awareness scheme for edge computing devices in IoT system. Test results show that the proposed approach can improve services-oriented security situation of IoT systems based on edge computing.