An Intelligent Privacy Protection Scheme for Efficient Edge Computation Offloading in IoV

作     者：Liang YAO Xiaolong XU Wanchun DOU Muhammad Bilal Liang YAO;Xiaolong XU;Wanchun DOU;Muhammad Bilal

作者机构：School of Software Nanjing University of Information Science and Technology State Key Laboratory for Novel Software Technology Nanjing University Department of Computer and Electronics Systems Engineering Hankuk University of Foreign Studies 

出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))

年 卷 期：2024年第33卷第4期

页      面：910-919页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 0839[工学-网络空间安全] 08[工学] 0838[工学-公安技术] 0835[工学-软件工程] 081201[工学-计算机系统结构] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the Natural Science Foundation of Jiangsu Province of China (Grant No. BK20211284) the National Natural Science Foundation of China (Grant No. 92267104) the Financial and Science Technology Plan Project of Xinjiang Production and Construction Corps (Grant No. 2020DB005) 

主　　题：Industries Privacy Energy consumption Transportation Computational efficiency Encryption Protection 

摘      要：As a pivotal enabler of intelligent transportation system(ITS), Internet of vehicles(Io V) has aroused extensive attention from academia and industry. The exponential growth of computation-intensive, latency-sensitive,and privacy-aware vehicular applications in Io V result in the transformation from cloud computing to edge computing,which enables tasks to be offloaded to edge nodes(ENs) closer to vehicles for efficient execution. In ITS environment,however, due to dynamic and stochastic computation offloading requests, it is challenging to efficiently orchestrate offloading decisions for application requirements. How to accomplish complex computation offloading of vehicles while ensuring data privacy remains challenging. In this paper, we propose an intelligent computation offloading with privacy protection scheme, named COPP. In particular, an Advanced Encryption Standard-based encryption method is utilized to implement privacy protection. Furthermore, an online offloading scheme is proposed to find optimal offloading policies. Finally, experimental results demonstrate that COPP significantly outperforms benchmark schemes in the performance of both delay and energy consumption.