Detection and Localization of Attackers in Wireless Networks

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The adaptability and openness of remote networks empower an opponent to take on the appearance of different devices effortlessly. Spoofing attacks are the one that causes serious network threats as they can encourage an assortment of progressed attacks to challenge the typical operation of systems. On the other hand, the existing approach can just locate spoofing attacks when the exploited person node and the spoofing node are static and thus the correlation problem occurs in the same frequency region. In this research, a method has been proposed for detecting and locating spoofing attacks in the mobile wireless environment and also to develop a Distance based Attack Localization and Detection (DALD) system, which is based on the distance of each packet while travelling from source to destination and where every node alert its neighbors, source and destination node that costs to reach them. It utilizes the Distance Vector Routing Protocols (DVRP) for successfully discovering the attack, and the number of attacks that discover and strike the area with a moderate network overhead. Through this simulation, it shows that DALD achieves identifying accurate attack, localization and detection.
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Intrusion Detection Systems (IDS); Spoofing Attack; Localization; Distance Vector Routing Protocol

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