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Research Paper | Computer Science & Engineering | India | Volume 4 Issue 4, April 2015 | Popularity: 6.3 / 10
Applying Genetic Algorithm to Intrusion Detection System
Vrishali Yewale, Vimla Jethani, Tushar Ghorpade
Abstract: Now a days it is very important to maintain a high level security to ensure safe and trusted communication of information between various organizations. But secured data communication over internet and any other network is always under threat of intrusions and misuses. With the rapid expansion of Internet in recent years, computer systems are facing increased number of security threats. Therefore, unwanted intrusions take place when the actual software systems are running. So Intrusion Detection Systems have become a needful component in terms of computer and network security. In this paper, we present an Intrusion Detection System (IDS), by applying genetic algorithm (GA) to efficiently detect various types of network attacks. Parameters and evolution processes for GA are discussed. Also impact on rate of GA operators in IDS for misuse is discussed.
Keywords: Intrusion detection, Genetic Algorithm GA, Intrusion Detection System IDS, Fitness Function
Edition: Volume 4 Issue 4, April 2015
Pages: 524 - 529
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