Personal anomaly-based intrusion detection smart card using behavioural analysis

Abstract

Intrusion Detection Systems play an invaluable role within organisations by detecting attempted attacks on their IT systems. However, Intrusion Detection Systems are complex to set-up and require large quantities of memory and processing power to effectively analyse the large volumes of network traffic involved. Behavioural analysis plays an important role within Intrusion Detection Systems by looking for suspicious behaviour or behaviour out of the ordinary within the network traffic. This paper identifies several problems that decreases the overall performance of Intrusion Detection Systems. It proposes the use of a personal smart card-based Intrusion Detection System to increase the performance and effectiveness of Intrusion Detection Systems as a whole. © 2007 International Federation for Information Processing.