Title :
An Adaptive Approach of String Metrics Application in the Intrusion Detection Systems
Author :
Nikolova, Evgeniya ; Jecheva, Veselina
Author_Institution :
Burgas Free Univ., Burgas, Bulgaria
fDate :
March 31 2009-April 2 2009
Abstract :
The present paper introduces an innovative approach for the anomaly-based intrusion detection systems (IDS). The main idea is to construct a model that characterizes the expected/acceptable behavior of the system using list decoding techniques and distinguishes the intrusive activity from legal one using string metric algorithms. The conducted simulation experiments are represented and discussed as well.
Keywords :
decoding; security of data; IDS; acceptable behavior; adaptive approach; anomaly-based intrusion detection system; list decoding technique; string metric application; Application software; Computational modeling; Computer science; Condition monitoring; Cost function; Databases; Decoding; Intrusion detection; Law; Legal factors; anomaly-based IDS; intrusion detection; list decoding; string metrics;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.677
