Performance evaluation of DCA and SRC on a single bot detection

Al-Hammadi, Yousof and Aickelin, Uwe and Greensmith, Julie (2010) Performance evaluation of DCA and SRC on a single bot detection. Journal of Information Assurance and Security, 5 (1). pp. 265-275. ISSN 1554-1010

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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.

Item Type: Article
Schools/Departments: University of Nottingham UK Campus > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 10 Aug 2011 11:14
Last Modified: 10 Aug 2011 11:14
URI: http://eprints.nottingham.ac.uk/id/eprint/1284

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