Title :
Intrusion Detection System Based on Data Mining
Author_Institution :
Leshan Teachers Coll., Leshan
Abstract :
Analyzed recent IDS models, the development of IDS (Intrusion Detection System), and the current and gives a brief introduction to DM (Data Mining) technology. Presented a framework of IDS based on data mining for resolving the current problems IDS is facing. The system that performs anomaly detection can detect intrusions known and unknown, reduce omissions and misstatements, improve accuracy and speed of intrusion detection and has good adaptive capacity and scalability.
Keywords :
data mining; security of data; anomaly detection; data mining; intrusion detection system; Computer crime; Data mining; Data security; Databases; Electrons; Face detection; Intrusion detection; Libraries; Physics; Predictive models;
Conference_Titel :
Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
Conference_Location :
Adelaide, SA
Print_ISBN :
978-0-7695-3090-1
DOI :
10.1109/WKDD.2008.12
