Research Paper
Resisting SBZ attack patterns by a reliable trust model in Vehicular Ad Hoc Network (VANET)
Vehicular ad hoc networks (VANETs) have the probable to convert the way people travel through the formation of a safe interoperable wireless communications network that contains buses, cars, traffic signals, cell phones, and other devices. However, VANETs are susceptible to security threats due to growing reliance on computing, communication, and control technologies. The sole security and privacy challenges modeled by VANETs include integrity, no repudiation, confidentiality, real-time operational constraints/demands, access control, privacy protection, and availability. In this paper, we recommend that the new trust management scheme mainly focuses on the Traffic Estimation and Prediction System which generally provides the predictive information needed for proactive traffic control and traveler information. In VANETs singular vehicles can help each other's find assets and build up dependability under profoundly powerful conditions; without any unified trust expert to determine the precision and unwavering quality of data aggregated in a distributed manner we present a new trust management system for such networks. The trustworthiness of VANETs could be upgraded by addressing holistically both node trust, which is defined as how trustworthy the nodes in VANETs are and data trust, which is defined as the assessment of whether or not and to what extent the reported traffic data are trustworthy. To make this trust-based system robust we include a way of dealing with false ratings. More specifically a reliable trust model is proposed which can resist the SBZ attack patterns by using the cloud watch mechanism which can exclude potential lies. The effectiveness and efficiency of the proposed scheme are validated through extensive experiments. The proposed trust management theme is applicable to a wide range of VANET applications to improve traffic safety, mobility, and environmental protection with enhanced trustworthiness.
Published by: Selvarani B., Rahin Batcha R.
Author: Selvarani B.
Paper ID: V5I5-1154
Paper Status: published
Published: September 26, 2019
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