An anonymous authentication scheme for edge computing-based car–home connectivity services in vehicular networks

2020 ◽  
Vol 106 ◽  
pp. 659-671
Author(s):  
Nan Guo ◽  
Cong Zhao ◽  
Tianhan Gao
Keyword(s):  
Vehicular Networks ◽  
Edge Computing ◽  
Authentication Scheme ◽  
Anonymous Authentication

scholarly journals PUF-Based Anonymous Authentication Scheme for Hardware Devices and IPs in Edge Computing Environment

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 124785-124796 ◽  
Author(s):  
Jing Long ◽  
Wei Liang ◽  
Kuan-Ching Li ◽  
Dafang Zhang ◽  
Mingdong Tang ◽  
...  
Keyword(s):  
Edge Computing ◽  
Authentication Scheme ◽  
Computing Environment ◽  
Anonymous Authentication

scholarly journals A Novel Anonymous Authentication Scheme Based on Edge Computing in Internet of Vehicles

2021 ◽  
Vol 67 (3) ◽  
pp. 3349-3361
Author(s):  
Xiaoliang Wang ◽  
Xinhui She ◽  
Liang Bai ◽  
Yang Qing ◽  
Frank Jiang
Keyword(s):  
Edge Computing ◽  
Authentication Scheme ◽  
Internet Of Vehicles ◽  
Anonymous Authentication

scholarly journals Joint optimization of network selection and task offloading for vehicular edge computing

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Lujie Tang ◽  
Bing Tang ◽  
Li Zhang ◽  
Feiyan Guo ◽  
Haiwu He
Keyword(s):  
Large Scale ◽  
Vehicular Networks ◽  
Access Point ◽  
Edge Computing ◽  
Network Selection ◽  
Network Access ◽  
Task Execution ◽  
Point Selection ◽  
Vehicle Movement ◽  
Task Offloading

AbstractTaking the mobile edge computing paradigm as an effective supplement to the vehicular networks can enable vehicles to obtain network resources and computing capability nearby, and meet the current large-scale increase in vehicular service requirements. However, the congestion of wireless networks and insufficient computing resources of edge servers caused by the strong mobility of vehicles and the offloading of a large number of tasks make it difficult to provide users with good quality of service. In existing work, the influence of network access point selection on task execution latency was often not considered. In this paper, a pre-allocation algorithm for vehicle tasks is proposed to solve the problem of service interruption caused by vehicle movement and the limited edge coverage. Then, a system model is utilized to comprehensively consider the vehicle movement characteristics, access point resource utilization, and edge server workloads, so as to characterize the overall latency of vehicle task offloading execution. Furthermore, an adaptive task offloading strategy for automatic and efficient network selection, task offloading decisions in vehicular edge computing is implemented. Experimental results show that the proposed method significantly improves the overall task execution performance and reduces the time overhead of task offloading.

Computationally efficient and secure anonymous authentication scheme for cloud users

2021 ◽  
Author(s):  
Anakath Arasan ◽  
Rajakumar Sadaiyandi ◽  
Fadi Al-Turjman ◽  
Arun Sekar Rajasekaran ◽  
Kalai Selvi Karuppuswamy
Keyword(s):  
Authentication Scheme ◽  
Computationally Efficient ◽  
Anonymous Authentication ◽  
Cloud Users
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