DCA for bot detection

13 years 11 months ago

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Abstract— Ensuring the security of computers is a nontrivial task, with many techniques used by malicious users to compromise these systems. In recent years a new threat has emerged in the form of networks of hijacked zombie machines used to perform complex distributed attacks such as denial of service and to obtain sensitive data such as password information. These zombie machines are said to be infected with a ‘bot’ - a malicious piece of software which is installed on a host machine and is controlled by a remote attacker, termed the ‘botmaster of a botnet’. In this work, we use the biologically inspired Dendritic Cell Algorithm (DCA) to detect the existence of a single bot on a compromised host machine. The DCA is an nspired algorithm based on an abstract model of the behaviour of the dendritic cells of the human body. The basis of anomaly detection performed by the DCA is facilitated using the correlation of behavioural attributes such as keylogging and packet ﬂooding b...

Yousof Al-Hammadi, Uwe Aickelin, Julie Greensmith

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