Mitigation of Black hole attack formation in Wireless Sensor Network using secure method (2020)
Dr Asa Jyothi.G JCR. 2020: 2222-2237
Wireless sensor networks are getting a lot of attention because they are easy to set up and don't cost much. Because of this, sensor networks are very important in many military and private uses. But because these networks aren't managed from one place, they can be attacked in a number of ways. One of the methods is called a "packet drop attack," in which a node that has been taken over drops packets on purpose. Several ways have been suggested to find the "packet drop attack" in wireless sensor networks, but none of them are practical enough to stop or separate future attacks. Recently, WSNs have started using reputation systems more and more. The reputation method calculates each node's reputation based on how it acts. These reputation systems make it possible to find the nodes that can be trusted to forward data. Monitoring the nodes in open mode has been shown to be an effective way to watch how the nodes forward data. In this paper, a new CONFIDENT SCORE-based NODE MONITORING AGENT (CFS-NMA) is presented to find the packet-dropping nodes and stop them from taking part in the process of sending data. Node monitoring bots (BFNMA) keep an eye on how the nodes forward information and give a CONFIDENT SCORE based on how well they do it. Also, this BFNMA looks at the flow of traffic to make sure that the wrong node (one that drops packets because it's too busy) isn't marked as malicious. The simulations show that compared to other security methods, the proposed mechanism is a huge step forward in network security.
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