Performance Evaluation of DCA and SRC on a Single Bot Detection

Details Performance Evaluation of DCA and SRC on a Single Bot Detection Performance Evaluation of DCA and SRC on a Single Bot Detection

2010-04-22

arxiv.org/abs/1004.3919v1

Journal of Information Assurance and Security, 5(1), p265-275, 2010

Computer Science

Artificial Intelligence

11 pages, 4 figures, 6 tables, Journal of Information Assurance and Security

Scientific paper

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.

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