Performance evaluation of DCA and SRC on a single bot detection


Autoria(s): Al-Hammadi, Yousof; Aickelin, Uwe; Greensmith, Julie
Data(s)

2010

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.nottingham.ac.uk/1284/1/al-hammadi2010b.pdf

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

Idioma(s)

en

Relação

http://eprints.nottingham.ac.uk/1284/

http://www.mirlabs.org/jias/index.html

Tipo

Article

PeerReviewed