Beacon-based trust management for location privacy enhancement VANETs

Abstract

In recent years more and more studies are focused on trust management of vehicle ad-hoc networks (VANETs). However, little attention has been given to the issue of location privacy of the existing trust methodologies in the literature. Although traffic safety remains to be the most crucial issue in VANETs, location privacy can be just as important for drivers, and neither of them can be ignored. In this paper, we propose a trust scheme which aims to thwart internal attackers in privacy enhanced VANETS. In the proposed scheme a secure broadcast authentication protocol and beacon-based trust management system are being employed to maintain the trustworthiness of vehicles. We adopt Dempster-Shafer Theory to incorporate trustworthiness of event message with vehicle trustworthiness from multiple vehicles. In order to ensure the reliability of the proposed scheme, we evaluate the performance under alteration and denial-ofservice attack models. The simulation results show that the proposed system is highly resilient to adversary attacks no matter whether it is under fixed silent period (FSP) scheme or random silent period (RSP) location privacy enhancement scheme.

MADPTM: Mix zones and dynamic pseudonym trust management system for location privacy

“…Then, the problems of decision delay are discussed in the next subsection. Meanwhile, the adaptive decision‐making method is also introduced . The adapted model location privacy metric is discussed in this section and also how to obtain maximum service usability constraints by location privacy.…”

“…First problem is that long time period during this interval may cause vehicles to receive malicious event messages. Another problem is time efficiency in decision making because pseudonym time will expire, so malicious vehicle cheats other vehicles more easily to receive malicious event messages rather than RS event messages which will have an effect on decision and adversely know the vehicle's exact identity …”

“…In general, mobile vehicle communication architecture gathering user inference in road network is classified mostly into three major subparts, which are indirect, direct, and hybrid. [41][42][43][44][45][46][47][48][49] (1) The trust information is known as indirect communication from other vehicle based on recommendations and point of interest. The distributed message is forwarded intermediately to other vehicle and information are collected from recommendations.…”

“…Meanwhile, the adaptive decision-making method is also introduced. [60][61][62][63][64][65] The adapted model location privacy metric is discussed in this section and also how to obtain maximum service usability constraints by location privacy. Moreover, to achieve location privacy, calculation is shown later on.…”

“…Another problem is time efficiency in decision making because pseudonym time will expire, so malicious vehicle cheats other vehicles more easily to receive malicious event messages rather than RS event messages which will have an effect on decision and adversely know the vehicle's exact identity. [60][61][62][63][64][65] In our proposed method, we enhanced both problem accuracy such as time efficiency and decision-making accuracy. In decision-making process, various conditions are triggered.…”