Reputation and Trust Approach for Security and Safety Assurance in Intersection Management System

Abstract

Crossroads are the main traffic jam generators in densely populated cities. Unmanned vehicles and intelligent transportation systems can significantly reduce congestion and improve road safety by eliminating the main cause of traffic accidents—the human factor. However, full confidence in their safety is necessary. This paper addresses the contextual data integrity problem, when an unmanned autonomous vehicle transmits incorrect data due to technical problems, or malicious attacks. We propose an approach based on trust and reputation that allows detecting vehicles transmitting bogus data. To verify the feasibility of the approach on practice, we conducted both software and physical simulations using the model of intersection and unmanned autonomous vehicle models. The simulation results show that the approach applied allows detecting vehicles with bogus data and excluding them from the group, thus increasing the safety of the intersection traversal by other vehicles.

Game Theory Approach for Communication Security and Safety Assurance in Cyber-physical Systems with Reputation and Trust-based Mechanisms

“…Papers studying Reputation-based data security techniques may offer different approaches to calculate these metrics. In [15] the authors suggest calculating the trust indicator in the range from -1 to 1, as in [7], we proposed to calculate the Reputation and Trust indicators in the range from 0 to 1. In the present paper, we use the calculus described in [7] and improve it with the Game Theory-based approach.…”

“…Earlier in study [7] we proposed and physically implemented the Reputation and Trustbased approach for AVs security and safety assurance in the intersection management system. To address the initial Reputation value calculation challenge, in [8] we provided the mechanism based on Game Theory fundamentals, which allows to calculate this value relying on objective indicators.…”

“…In addition, we developed our custom software simulator, that can be found in public access1, and conducted an empirical study with multiple robotic devices able to communicate with each other under "soft" attacks conditions. The results showed that the Game Theory approach implementation allows to reduce probability of classification intruders as legitimate agents and to increase accuracy of their detection, compared with using classical Reputation and Trust metrics, provided in [7].…”

A Survey of Trust Management in the Internet of Vehicles

“…Conventional or traditional trust management models are defined as widely accepted frameworks that function without requiring complex data analysis or statistical inference tools. In this subsection, recent research employing traditional trust management models has been discussed in detail [69][70][71][72][73].…”

“…Chuprov et al [73] proposed a scheme to mitigate traffic management issues on the crossroads by identifying the vehicles sending illegitimate messages, wherein three parameters, truth, reputation, and trust, each having a value within [0,1], are computed to assess the legitimacy of the data sent by vehicles. Truth being the opinion regarding the legitimacy of the message exchanged by vehicles, reputation is defined as the temporal function of the truth value, and trust is the weighted aggregation of both of the above stated parameters.…”