International Journal of Computer Science and Informatics
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.
DOI: 10.47893/IJCSI.2012.1076
Available at:
https://www.interscience.in/ijcsi/vol2/iss2/10
DOI
10.47893/IJCSI.2012.1076
Included in
Computer Engineering Commons, Information Security Commons, Systems and Communications Commons