Title: Survey On: Neural Network Based Intrusion Detection System Against Various Attacks in MANET
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Title: |
Survey On: Neural Network Based Intrusion Detection System Against Various Attacks in MANET |
Author Name: |
Mr. Pratik Gite, Dr. Sanjay Thakur |
Abstract: |
Mobile Ad-hoc Network and its dynamically changing topology, open environment and lack of centralized security infrastructure, MANET is very much vulnerable due to presence of malicious node patterns and certain types of attacks. To address these concerns in this paper, we proposed a neural network based Intrusion Detection System. Various kinds of security attacks and threats that are violating confidentiality, integrity, availability and non-repudiation can be caused of many intrusions which are increasing rapidly in Mobile Ad-hoc Network due to the Ad-hoc nature of MANET environment. In order to protect such types of attack patterns and malicious node patterns, Intrusion Detection Systems were designed. As per survey, various soft computing based techniques have been proposed for the IDS in last few decades but in this proposed work, a neural network based multilayer perception is trained for IDS using an enhanced resilient back propagation training algorithm with key management techniques. These systems are trained with normal network behavior and attack behavior information and then the system classify normal patterns and attacks patterns as per observation. The main aim of this paper is to provide detailed study of IDS, its maintenance and future implementation of Neural Network Based techniques. |
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