Abstract

Vehicular ad hoc networks (VANETs) are emerged technology where vehicles and roadside units (RSUs) communicate with each other. VANETs can be categorized as a subbranch of mobile ad hoc networks (MANETs). VANETs help to improve traffic efficiency and safety and provide infotainment facility as well. The dissemination of messages must be relayed through nodes in VANETs. However, it is possible that a node may propagate false information in a network due to its malicious behaviour or selfishness. False information in VANETs can change drivers’ behaviour and create disastrous consequences in the network. Therefore, sometimes false safety messages may endanger human life. To avoid any lass, it is more important to detect and avoid false messages. This paper has explained some important algorithms that can detect false messages in VANETs. The categorization of false message detection schemes based on local and cooperative behaviour has been presented in this article. The limitations and consequences of existing schemes as well as future work has been discussed.

Highlights

  • Vehicular ad hoc networks (VANETs) have got much importance for road side safety, security and traffic efficiency in recent years

  • We find that in threshold D, if the parameter of belief is between D+ and D, there might be a misbehaviour

  • A malicious node can broadcast bogus messages, which can change the behaviour of other nodes

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Summary

Introduction

Vehicular ad hoc networks (VANETs) have got much importance for road side safety, security and traffic efficiency in recent years. A malicious vehicle can broadcast false position information in the network that has adverse consequences in safety applications [15–20]. The rest of the paper is organized as follows: Section 3 is an introduction to the VANETs. Section 4 delivers a description on secure communication in the VANETs. Section 5 describes misbehaviour in the VANETs. Section 6 categorizes cooperative-based detection schemes for malicious information detection. Beacon messages are periodic information which shows presence of vehicle in network It contains position of vehicle, identity of sender, speed and time. VANET applications consist of vehicle cooperation for traffic management, notify drivers about danger on road and provide other comfort messages for passengers. High mobility makes a frequent topology change in result over a short time connection that is established between nodes in VANETs. strong medium access control (MAC) protocols are a prerequisite for effective data dissemination strategies to enhance throughput and reduce communication overhead [33–35]. The focus of this article is on fake information detection techniques

Node centric detection
Behaviour-based detection
Data centric detection
Local-based detection
Trust-based detection
Direct trust
Indirect trust
Hybrid trust Hybrid trust is a combination of direct and indirect trust
Conclusions
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