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[论文]刘雪娇等人.HDRS: A Hybrid Reputation System With Dynamic Update Interval for Detecting Malicious Vehicles in VANETs

时间:2022-10-09 14:23:55 文章来源 :学科 浏览量:9

HDRS: A Hybrid Reputation System With Dynamic Update Interval for Detecting Malicious Vehicles in VANETs

Liu, XJ (Liu, Xuejiao) ; Ma, OB (Ma, Oubo) ; Chen, W (Chen, Wei) ; Xia, YJ (Xia, Yingjie); Zhou, YX (Zhou, Yuxuan) 

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Volume 23 Issue 8 Page 12766-12777

DOI 10.1109/TITS.2021.3117289

Published AUG 2022

Early Access OCT 2021

Indexed 2021-12-25

Document Type Article

Abstract

The reputation-based scheme is a promising solution to prevent malicious behaviors in Vehicular Ad-hoc Networks (VANETs). However, traditional centralized reputation schemes are not suited for distributed networks, while decentralized reputation schemes are vulnerable to malicious vehicles spreading false messages. Most of these schemes assume that the behavior of vehicles can be accurately measured as reputation from the communication, ignoring that malicious vehicles may behave intelligently to avoid being detected. In this paper, we propose a hybrid reputation system (HDRS) which allows vehicles and roadside units (RSU) to complete reputation evaluations separately and provide references to each other. HDRS utilizes a reliability evaluation module to filter out unreliable calculation results and reference records. Furthermore, HDRS includes a dynamic adjustment mechanism for the reputation update interval, employing Analytic Hierarchy Process (AHP) and reliability evaluation results to resist intelligent attacks. Simulation results illustrate that HDRS can maintain a high detection rate and low false-positive rate for detecting malicious vehicles in different environments. Compared with existing schemes, HDRS increases the detection rates of collusion and intelligent attacks by 30% and 16%, respectively.