Open AccessIntrusion Detection System using Genetic Algorithm and Data Mining: An Overview
Author(s) -
Vivek K. Kshirsagar,
Sonali M. Tidke,
Swati Vishnu
Publication year - 2012
Publication title -
international journal of computer science and informatics
Language(s) - English
Resource type - Journals
ISSN - 2231-5292
DOI - 10.47893/ijcsi.2012.1076
Subject(s) - intrusion detection system , computer science , confidentiality , data mining , anomaly based intrusion detection system , genetic algorithm , host (biology) , network security , host based intrusion detection system , computer security , machine learning , intrusion prevention system , ecology , biology
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.