基于强化学习的低时延车联网群密钥分配管理技术

doi:10.11959/j.issn.2096-109x.2020055

Abstract

Abstract:

Key agreement scheme of vehicle ad hoc networks (VANET) determines the privacy and security against user identity-based attacks,such as spoofing attack.The existing work updates the group shared key at a fixed frequency,which increases the processing latency of the key updates and the encryption and decryption of group communication.A reinforcement learning based dynamic key agreement scheme was proposed to enable the group cluster head to optimize the key update frequency and key length.This scheme optimizes the calculation latency of encryption and decryption based on the number of surrounding vehicles,the previous key update records without the knowledge of the traffic flow model and the access-driven cache attack model.Simulation results show that this scheme reduces the transmission delay of the communication overhead and the computational latency of encryption and decryption,and improves the security of the group key compared with the benchmark scheme.

Key words: VANET, group key agreement, reinforcement learning

CLC Number:

TN97

Tangwei1 XU,Hailu ZHANG,Chuhuan LIU,Liang XIAO,Zhenmin ZHU. Reinforcement learning based group key agreement scheme with reduced latency for VANET[J]. Chinese Journal of Network and Information Security, 2020, 6(5): 119-125.

Figures/Tables 4

参数	含义
M^k	k时刻群集内车辆数目
vk	群集车辆平均速度
g^k	前D个时刻群集密钥更新决策
ρ^k	群集通信安全等级
$x_{1}^{k}$	更新密钥决策
$x_{2}^{k}$	更新密钥长度
λ	泊松分布均值
VPK/VSK	车辆的公钥/私钥
RPK/RSK	RSU的公钥/私钥
n	TA选择的随机质数
E(·)	加密
h(·)	Hash函数
T/T*	发送/接收时间戳

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Reinforcement learning based group key agreement scheme with reduced latency for VANET

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