Abstract

Abstract: In the field of contemporary intelligent transportation, vehicular ad hoc networks (VANETs) are a popular and promising technology. They are employed to provide effective life safety, intelligent transportation systems, and traffic information systems (TIS). Due to the nodes' mobility and the connections' brittleness, the VANET is open to a variety of security risks. One type of security risk known as a "black hole attack" involves a node presenting itself to other nodes in such a way that it has the quickest and most direct access to the target. As a result, an effective method for the detection and eradication of the Black hole attack in the Vehicular Ad Hoc Networks (VANET) is given in this research study. One of the most widely used routing protocols for VANET, AODV (Ad hoc On Demand Distance Vector) is used to achieve the suggested method. In the first stages of route discovery, the technique can identify both a single black hole attack and a cooperative black hole attack. The simulation is carried on NS2 and the results of the proposed scheme are compared to [14] and the fundamental AODV routing protocol, this results are examined on various network performance metrics such as packet delivery ratio, throughput and endto-end delay. The found results show the efficacy of the proposed method as throughput and the delivery ratio of the network does not deteriorate in presence of the back holes

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