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Innovative Approach for Improving Intrusion Detection Using Genetic Algorithm with Layered Approach
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Author(s): Aditi Nema (BIRT, India)
Copyright: 2017
Pages: 26
Source title:
Pattern and Data Analysis in Healthcare Settings
Source Author(s)/Editor(s): Vivek Tiwari (Maulana Azad National Institute of Technology, India), Basant Tiwari (Devi Ahilya University, India), Ramjeevan Singh Thakur (Maulana Azad National Institute of Technology, India)and Shailendra Gupta (AISECT University, India)
DOI: 10.4018/978-1-5225-0536-5.ch005
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Abstract
The detection portion of Intrusion Detection System is the most complicated. The IDS goal is to make the network more secure, and the prevention portion of the IDS must accomplish that effort. After malicious or unwanted traffic is identified, using prevention techniques can stop it. When an IDS is placed in an inline configuration, all traffic must travel through an IDS sensor. In this paper the reduced the features and perform layered architecture for identify various attack (DoS, R2L, U2R, Probe) and show accuracy using SVM with genetic approach.
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