Survey Paper | Neural Networks | India | Volume 6 Issue 4, April 2017
A Literature Survey on Existing Intrusion Detection Systems Based on Genetic Algorithm
Nagarapu Priyanka | Prikhil Agarwal
Abstract: With increase of millions of users on Internet day by day, it is very essential to maintain highly reliable and secured data communication between various corporations. Although there are various traditional security imparting techniques such as antivirus software, password protection, data encryption, biometrics and firewall etc. But still network security has become a main issue in various leading companies. So IDSs have become a essential component in terms of security, as it can detect various network attacks and respond quickly to such occurrences. IDSs are used to detect unauthorized access to a computer system. This paper describes various intrusion detection techniques using GA approach. The intrusion detection problem has become a challenging task due to the conception of miscellaneous computer networks under various vulnerabilities. Thus the damage caused to various organizations by malicious intrusions can be mitigated and even be deterred by using this powerful tool.
Keywords: Genetic Algorithm GA, Intrusion Detection System IDS, Dataset, Network Security
Edition: Volume 6 Issue 4, April 2017,
Pages: 1322 - 1325
How to Cite this Article?
Nagarapu Priyanka, Prikhil Agarwal, "A Literature Survey on Existing Intrusion Detection Systems Based on Genetic Algorithm", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=9041701, Volume 6 Issue 4, April 2017, 1322 - 1325, #ijsrnet
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