Performance evaluation of DCA and SRC on a single bot detection

Al-Hammadi, Yousof; Aickelin, Uwe; Greensmith, Julie

Abstract

Malicious users try to compromise systems using new techniques. One of the recent techniques used by the attacker is to perform complex distributed attacks such as denial of service and to obtain sensitive data such as password information. These compromised machines are said to be infected with malicious software termed a “bot”. In this paper, we investigate the correlation of behavioural attributes such as keylogging and packet flooding behaviour to detect the existence of a single bot on a compromised machine by applying (1) Spearman’s rank correlation
(SRC) algorithm and (2) the Dendritic Cell Algorithm (DCA). We also compare the output results generated from these two methods to the detection of a single bot. The results show that the DCA has a better performance in detecting malicious activities.

Citation

Al-Hammadi, Y., Aickelin, U., & Greensmith, J. (2010). Performance evaluation of DCA and SRC on a single bot detection

• Journal Article Type: Article
• Publication Date: Jan 1, 2010
• Deposit Date: Aug 10, 2011
• Publicly Available Date: Aug 10, 2011
• Journal: Journal of Information Assurance and Security
• Electronic ISSN: 1554-1010
• Peer Reviewed: Peer Reviewed
• Volume: 5
• Issue: 1
• Public URL: https://nottingham-repository.worktribe.com/output/1012271
• Publisher URL: http://www.mirlabs.org/jias/index.html