An alert fusion model inspired by artificial immune system.

Citation

Mahboubian, Mohammad and Udzir, Nur Izura and Subramaniam, Shamala and Abdul Hamid, Nor Asila Wati (2012) An alert fusion model inspired by artificial immune system. In: International Conference on Cyber Security, CyberWarfare and Digital Forensic (CyberSec 2012) , 26-28 June 2012, Kuala Lumpur, Malaysia. (pp. 317-322).

Abstract

In the recent years one of the most focused topics in the field of network security and more specifically intrusion detection systems was to find a solution to reduce the overwhelming alerts generated by IDSs in the network. Inspired by human defence system and danger theory we propose a complementary subsystem for IDS which can be integrated into any existing IDS models to aggregate the alerts in order to reduce them, and subsequently reduce false alarms among the alerts. After evaluation using different datasets and attack scenarios, our model managed to aggregate the alerts by the average rate of 97.5 percent.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
Notes:	Full text are available at Special Collection Division Office.
Keywords:	Intrusion detection system; Alert fusion; Alert correlation, Artificial immune system; Danger theory.
Depositing User:	Erni Suraya Abdul Aziz
Date Deposited:	07 May 2014 01:34
Last Modified:	19 Jun 2014 07:23
URI:	http://psasir.upm.edu.my/id/eprint/27716
Statistic Details:	View Download Statistic

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