基于移动云计算的假名按需分发管理方案

On-Demand Distribution Management Scheme of Pseudonyms Based on Mobile Cloud Computing

针对车联网中目前广泛使用的假名策略存在时延长、效率低、开销大等弊端,提出一种基于移动云计算的四层假名分发管理系统,设计完善的假名安全分发方案,并建模假名按需安全分发的数学问题。考虑驾驶人出行习惯会影响车辆移动规律,体现在一段时间内相对固定的个体出行特性和群体出行特性,而车辆移动数据直接影响到所在区域的假名管理,因此为了最大化假名效益,从经济学角度提出一种基于报童模型的假名最优分发方案,并通过遗传算法求解最优假名申请集合。实验结果表明,该方案与现存典型方案相比,能够有效提高假名利用率和本地云层收益。

To solve the drawbacks of extended time,low efficiency and high cost of the pseudonym strategy widely used in Internet of Vehicles,this paper proposes a four-tier pseudonym distribution management system based on mobile cloud computing,designs a perfect pseudonym security distribution scheme,and models the mathematical problem of pseudonym security distribution on demand.Considering that drivers'travel habits will affect vehicle movement rules,vehicles have both individual travel characteristics and group travel characteristics,and vehicle movement data directly affect the management of pseudonyms in the region,so to maximize the benefits of pseudonyms,an optimal distribution scheme of pseudonyms based on newsboy model is proposed from the economic point of view,and the optimal ask set of pseudonyms is solved by genetic algorithm.The experimental results show that the scheme can effectively improve the utilization of pseudonyms and local cloud revenue compared with the existing typical schemes.