A Data Mining Approach for Attribute Selection in Intrusion Detection System
Author(s) -
Richa Pandey,
Janmejay Pant
Publication year - 2017
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2017915056
Subject(s) - computer science , intrusion detection system , data mining , selection (genetic algorithm) , intrusion , information retrieval , artificial intelligence , geology , geochemistry
Data Mining is a collection of tools and techniques for extraction of useful data from large amount of databases and now a days there are many intruders who try to steal useful data or to change the originality of data.An Intrusion Detection System (IDS) is a method which is use for defence method which check the activities of the computer network and reports the malicious activities to the network administrator if there is any. As the Intruders do more than one attempts to gain access to the network and try to destroy the authentication of the organization’s data. The security which is the main issue for any organization have to take steps for maintaining the originality of the data.
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