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امروز: پنج شنبه، 09 فروردين 1403 شمسی ساعت به وقت گرینویچ: 13:01:14
       دسته‌بندی: مقالات انگلیسی       فروش: 0 بازدید: 3948
Performance analysis and implementation of proposed mechanism for detection and prevention of security attacks in routing protocols of vehicular ad-hoc network (VANET)
    قیمت محصول: 10000 ریال



Abstract

Next-generation communication networks have become widely popular as ad-hocnetworks, broadly categorized as the mobile nodes based on mobile ad-hoc networks (MANET) and the vehicular nodes based vehicular ad-hoc networks (VANET). VANET is aimed at maintaining safety to vehicle drivers by begin autonomous communication with the nearby vehicles. Each vehicle in the ad-hoc network performs as an intelligent mobile node characterized by high mobility and formation of dynamic networks. The ad-hoc networks are decentralized dynamic networks that need efficient and secure communication requirements due to the vehicles being persistently in motion. These networks are more susceptible to various attacks like Warm Hole attacks, denial of service attacks and Black Hole Attacks. The paper is a novel attempt to examine and investigate the security features of the routing protocols in VANET, applicability of AODV (Ad hoc On Demand) protocol to detect and tackle a particular category of network attacks, known as the Black Hole Attacks. A new algorithm is proposed to enhance the security mechanism of AODV protocol and to introduce a mechanism to detect Black Hole Attacks and to prevent the network from such attacks in which source node stores all route replies in a look up table. This table stores the sequences of all route reply, arranged in ascending order using PUSH and POP operations. The priority is calculated based on sequence number and discard the RREP having presumably very high destination sequence number. The result show that proposed algorithm for detection and prevention of Black Hole Attack increases security in Intelligent Transportation System (ITS) and reduces the effect of malicious node in the VANET. NCTUNs simulator is used in this research work.


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