Biblio
Filters: Author is Chen, Duanyun [Clear All Filters]
Vulnerability analysis of Cyber-physical power system based on Analytic Hierarchy Process. 2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). 10:2024–2028.
.
2022. In recent years, the blackout accident shows that the cause of power failure is not only in the power network, but also in the cyber network. Aiming at the problem of cyber network fault Cyber-physical power systems, combined with the structure and functional attributes of cyber network, the comprehensive criticality of information node is defined. By evaluating the vulnerability of ieee39 node system, it is found that the fault of high comprehensive criticality information node will cause greater load loss to the system. The simulation results show that the comprehensive criticality index can effectively identify the key nodes of the cyber network.
ISSN: 2693-2865
A security scheme for network slicing selection based on Pohlig-Hellman algorithm in smart grid. 2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). 10:906—910.
.
2022. 5G has significantly facilitated the development of attractive applications such as autonomous driving and telemedicine due to its lower latency, higher data rates, and enormous connectivity. However, there are still some security and privacy issues in 5G, such as network slicing privacy and flexibility and efficiency of network slicing selection. In the smart grid scenario, this paper proposes a 5G slice selection security scheme based on the Pohlig-Hellman algorithm, which realizes the protection of slice selection privacy data between User i(Ui) and Access and Mobility Management function (AMF), so that the data will not be exposed to third-party attackers. Compared with other schemes, the scheme proposed in this paper is simple in deployment, low in computational overhead, and simple in process, and does not require the help of PKI system. The security analysis also verifies that the scheme can accurately protect the slice selection privacy data between Ui and AMF.