A Trust Model for Intervehicular Communication Based on Belief Theory

Abstract

Vehicles will exchange much information in the future in order to efficiently maintain their inner model of the environment. Before they can belief received pieces of information, they must evaluate their reliability. Trust is a mechanism to estimate this reliability based on the sender. As cars often drive the same route, they meet each other again and again. They can establish friendship-like relations and thus are embedded in a social structure. A trust model depends on this social structure. For this reason, we simulate the driving pattern of a small town. Within this simulation, all cars are equipped with a trust model that continuously monitors the experiences made with others. The developed model focuses on direct experiences of the individual and not on a system-wide reputation which would depend on a central unit. It continuously evaluates the performance and reputation of other cars and includes a feedback loop to faster adapt to changes in the other's behaviour. To make a decision out of the collected data, the model uses the capacity of the binary error and erasure channel from information theory. This capacity provides a better decision criterion than the traditional expectation value. The proposed trust model is an individuallevel model; nonetheless it can be connected to a system-wide reputation mechanism.

Hidden semi-Markov model-based reputation management system for online to offline (O2O) e-commerce markets

“…If the belief values of all the participants are aggregated, the reputation score of each participant in this model can be obtained [28]. This model has been extended and widely used in the literature since it was systematically introduced by Falcone et al [29,30,31,32].…”

LSOT: A Lightweight Self-Organized Trust Model in VANETs

“…Since the self-organized models are more applicable to the distributed and highly dynamic environment of VANETs, most of the recent trust models are built in this manner (as shown in Figure 1(b)) [11,[20][21][22]. In these models, the CAs are not guaranteed at all the time and each node evaluates the trust value of target node based on the local knowledge obtained from its past experiences and the recommendations of neighbor nodes during a short period of time.…”

“…Trust management plays a significant role in VANETs as it enables each node to evaluate the trust values of other nodes before acting on a message from other nodes for the purpose of avoiding the dire consequences caused by the unreal messages from malicious nodes [17]. However, recently only a few trust models in VANETs have been proposed [8,9,11,[18][19][20][21][22] and they can be roughly divided into two categories, namely, infrastructure-based and self-organized models [7,23].…”

Ability-aware trust for vehicular networks

“…The definition of the priority fusion differs from that in Bamberger et al (2010); it scales the evidence of the discriminated opinion. This new definition has better theoretical properties, while the results are similar to our previous proposition.…”

“…In the equation for the prediction error, the order of operands was wrong in Bamberger et al (2010). (It was only wrong in the paper, not in the simulation).…”