MAD-IDS: novel intrusion detection system using mobile agents and data mining approaches

Authors:
Imen Brahmi;Sadok Ben Yahia;Pascal Poncelet
Affiliations:
Faculty of Sciences of Tunis, Tunisia;Faculty of Sciences of Tunis, Tunisia;LIRMM Montpellier, France
Venue:
PAISI'10 Proceedings of the 2010 Pacific Asia conference on Intelligence and Security Informatics
Year:
2010

Citing 1
Cited 1

A new generic basis of "factual" and "implicative" association rules

Intelligent Data Analysis

Bot detection evasion: a case study on local-host alert correlation bot detection methods

Security and Communication Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

Intrusion Detection has been investigated for many years and the field reached the maturity. Nevertheless, there are still important challenges, e.g., how an Intrusion Detection System (IDS) can detect distributed attacks. To tackle this problem, we propose a novel distributed IDS, based on the desirable features provided by the mobile agent methodology and the high accuracy offered by the data mining techniques.