Open AccessEnsemble Classification for Intrusion Detection
Author(s) -
Shweta Sharma,
Aishwarya Mishra
Publication year - 2016
Publication title -
smart moves journal ijoscience
Language(s) - English
Resource type - Journals
ISSN - 2582-4600
DOI - 10.24113/ijoscience.v2i9.112
Subject(s) - intrusion detection system , computer science , identification (biology) , data mining , anomaly based intrusion detection system , intrusion prevention system , intrusion , computer security , botany , geochemistry , biology , geology
Security of network systems is becoming an important
issue, as more and sensitive information is being stored and manipulated online. Therefore, it is essential to find an effective way to protect it. Mining approach can play very important role in developing an intrusion detection system. This paper presents various data mining Classification techniques applied on intrusion detection systems for the effective identification of both known and unknown patterns of attacks, to develop secure information systems.