Abstract
The Intelligent Transportation System (ITS) is an important application area of the Cyber-Physical System (CPS). To further promote effective communication between vehicles, vehicular ad hoc networks (VANETs) have been widely used in the ITS. However, the communication efficiency in VANETs is not only affected by the external environment but also more vulnerable to malicious attacks. In order to address the above-mentioned issues, we propose a novel trust-based multicast routing protocol (TMR) to defend against multiple attacks and improve the routing efficiency. In the proposed trust model, direct trust is calculated based on Bayesian theory and indirect trust is computed according to evaluation credibility and activity. The fuzzy logic theory is used to fuzzify the direct and indirect trust values, and then the total trust value of the node is obtained by defuzzification. With the help of the obtained trust values, malicious vehicle nodes are eliminated in the processes of route establishment and route maintenance, and finally, the network establishes trusted and efficient routes for data delivery. Comprehensive simulation experiments show that our new protocol can effectively improve the transmission rate of data packets at the expense of a slight increase in end-to-end delay and control overhead.
Highlights
As a combination of computation processes and physical processes, cyber-physical systems (CPS) organically integrate cyber systems and physical systems from environmental perception [1]
In the research on vehicular ad hoc networks (VANETs), data distribution is regarded as one of the most critical processes, which mainly depends on efficient routing protocols [3]
Slavik et al [10] presented the Distribution-Adaptive Distance with Channel Quality (DADCQ) protocol which could select forwarding nodes based on the distance method
Summary
As a combination of computation processes and physical processes, cyber-physical systems (CPS) organically integrate cyber systems and physical systems from environmental perception [1]. Researchers have proposed routing protocols to ensure reliable data transmission and information exchange between vehicles, which are roughly divided into two categories (geography-based and topologybased) according to different networking methods [4]. If the reliability of the data cannot be adequately assessed, the driver may make wrong judgments based on malicious information received from misbehaving vehicles, resulting in severe traffic jams. To solve the routing security problem, cryptography-based and trust-based security mechanisms have been proposed [5,6,7,8] The former focuses on the integrity of the data but does not identify malicious entities within the network [7]. A secure multicast routing protocol based on the trust model is presented to deal with multiple attacks (e.g., black attack, grey attack, slander attack) from malicious vehicular nodes.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
