Enhanced Secure communication AODV routing protocol in MANETS
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MANET topology is more complex due to this functionality, which is more complicated and anxious within this network building mechanism and hence nodes are more prone to compromising and are primarily vulnerable to Denial Service Assail (DoS) assailing by malicious nodes or intruders[6]. Attackers have used this idea to conduct DoS attacks similar to floods; the branded attack on MANET is a black hole and gray hole. In this post, we have projected a new automated protection system that uses SVM in defense of malicious AODV attacks. The method proposed uses machines to classify nodes as malevole...
MANET topology is more complex due to this functionality, which is more complicated and anxious within this network building mechanism and hence nodes are more prone to compromising and are primarily vulnerable to Denial Service Assail (DoS) assailing by malicious nodes or intruders[6]. Attackers have used this idea to conduct DoS attacks similar to floods; the branded attack on MANET is a black hole and gray hole. In this post, we have projected a new automated protection system that uses SVM in defense of malicious AODV attacks. The method proposed uses machines to classify nodes as malevolent. In MANET 's context, such as malicious nodes which over time change misconceptions or rapid changes in environmental factors such as movement speed and communication range are considerably resilient to these changes. This paper presented an algorithm used to track MANET behavior by a specific node to detect attacks on ad hoc networks based on secure data transmission. Compared to conventional models, the new model reveals that it has improved results in terms of detection of malicious users and also an increased package delivery volume
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