SECURE ADHOC ROUTING FOR DATA TRANSFER USING NEURO FUZZY

摘要

In the present world the security vulnerabilities are highly challenging in MANET. To get the maximum security and minimum threat there is lots of work going on. To effectively isolate the malicious node this paper proposes a Neuro fuzzy algorithm. By using fuzzy logic we can further improve the security level by identifying the malicious node more accurately. The concept behind the paper is as in real life scenario, trust and sharing. Here in this paper we use the concept of trusting supporters, sharing the companion list and routing through data. In order to get a secure high trust level, fuzzy logic is applied for evaluating routing response and isolates the malicious node. Trusted route is evaluated in sequence of operation and data is transferred at a most trusted level. Trust values are computed to each node by setting verge values. The values of each node is checked with the verge value. If the value higher than the verge value mark it as high trusted node or else low trusted node.The fuzzy logic is implemented using aarmp routing protocol. Thus the level of trust is increased to obtain accuracy of identification. The goal of getting a robust route without any malicious node is achieved.