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Vehicular ad-hoc networks allow vehicles to exchange messages pertaining to safety and road efficiency. Building trust between nodes can, therefore, protect vehicular ad-hoc networks from malicious nodes and eliminate fake messages. Although there are several trust models already exist, many schemes suffer from varied limitations. For example, many schemes rely on information provided by other peers or central authorities, for example, roadside units and reputation management centers to ensure message reliability and build nodes' reputation. Also, none of the proposed schemes operate in different environments, for example, urban and rural. To overcome these limitations, we propose a novel trust management scheme for self-organized vehicular ad-hoc networks. The scheme is based on a crediting technique and does not rely on other peers or central authorities which distinguishes it as an economical solution. Moreover, it is hybrid, in the sense it is data-based and entity-based which makes it capable of revoking malicious nodes and discarding fake messages. Furthermore, it operates in a dual-mode (urban and rural). The simulation has been performed utilizing Veins, an open-source framework along with OMNeT++, a network simulator, and SUMO, a traffic simulator. The scheme has been tested with two trust models (urban and rural). The simulation results prove the performance and security efficacy of the proposed scheme. [ABSTRACT FROM AUTHOR]

In vehicular ad hoc networks, peers make decisions on the basis of the information provided by the other peers. If the received information is fake, then the result could be catastrophic, such as road accidents. Therefore, many researchers use the concept of trust to evaluate the trustworthiness of the received data. However, existing trust management schemes (proposed so far for the vehicular networks) are suffered from various limitations. For example, some schemes measure trust on the basis of the history of interactions, which is infeasible for vehicular networks due to its ephemeral nature. Also, none of the existing schemes operate in an identity anonymous environment. In order to overcome these limitations, we propose a novel trust management scheme for identity anonymous vehicular ad hoc networks. The proposed method is simple and completely decentralized that makes it easy to implement in the vehicular networks. Also, we prove that the proposed method is not only robust, but it also detects false location and time information. Furthermore, it introduces linear time complexity, which makes it suitable to use in real time. Copyright © 2013 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Vehicular networks play a key role in building intelligent transport systems for smart cities. For the purpose of achieving traffic efficiency, road safety, and traveler comfort, vehicles communicate and collaborate with each other as well as with the fixed infrastructure. In practice, not all vehicles are trustworthy. A faulty or malicious vehicle may forward or share inaccurate or bogus information, which may cause adverse things, such as, road accidents and traffic congestion. Therefore, it is very important to evaluate risk before a vehicle takes any decision. Various risk-based decision systems have already been proposed in the literature. The fuzzy risk-based decision model of vehicular networks is one of them. In this paper, we have proposed various extensions in the fuzzy risk-based decision model to achieve higher robustness, reliability, and completeness. We have presented the theoretical and simulation-based analysis and evaluation of the proposed scheme in a comprehensive manner. In addition, we have analytically cross verified the theoretical and simulation-based results. Qualitative comparison of the proposed scheme has also been presented in this work. [ABSTRACT FROM AUTHOR]