"Intrusion Detection System using Genetic Algorithm and Data Mining: An" by V.P. Kshirsagar, Sonali M. Tidke et al.

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International Journal of Computer Science and Informatics

Article Title

Intrusion Detection System using Genetic Algorithm and Data Mining: An Overview

Authors

V.P. Kshirsagar, Dept.of Computer Science & Engg., Govt. College of Engg., An Autonomous Institute Aurangabad (M.S.) INFollow
Sonali M. Tidke, Dept. of Computer Science and Engineering, Govt. Engineering College, Aurangabad (MS), India.Follow
S.S. Vishnu, Dept.of Computer Science & Engg., Govt. College of Engg., An Autonomous Institute Aurangabad (M.S.) INFollow

Abstract

Network security is of primary concerned now days for large organizations. Various types of Intrusion Detection Systems (IDS) are available in the market like Host based, Network based or Hybrid depending upon the detection technology used by them. Modern IDS have complex requirements. With data integrity, confidentiality and availability, they must be reliable, easy to manage and with low maintenance cost. Various modifications are being applied to IDS regularly to detect new attacks and handle them. In this paper, we are focusing on genetic algorithm (GA) and data mining based Intrusion Detection System.

Recommended Citation

Kshirsagar, V.P.; Tidke, Sonali M.; and Vishnu, S.S. (2012) "Intrusion Detection System using Genetic Algorithm and Data Mining: An Overview," International Journal of Computer Science and Informatics: Vol. 2 : Iss. 2 , Article 10.
Available at: https://www.interscience.in/ijcsi/vol2/iss2/10

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