An Intelligent Agent Security Intrusion System

Pikoulas, J., Buchanan, W., Mannion, M. (2002). An Intelligent Agent Security Intrusion System. Engineering of Computer-Based Systems, 2002. Proceedings. Ninth Annual IEEE International Conference and Workshop on the , , (), 94 - 99 .


ISBN: 0-7695-1549-5
ISSN:

Abstract

Network security has now become one of the most important aspects in computer systems and the Internet. Apart from strong encryption, there is no definite method of truly securing network, thus they must be protected at different levels of the OSI model. At the physical layer, they can be protected by lock-and-key, and at the data link, they can be protected within VLANS (virtual LANs). With the network and transport layers, networks can be secured by firewalls, which monitor source and destination network addresses, and source and destination ports, respectively. At the session level, user names and passwords are be used. Unfortunately, all these methods can be prone to methods which can overcome the protection used. This paper expands the research previously undertaken on a misuse system based on the intelligent agent software technology. The system monitors user actions in real-time and take appropriate actions if necessary. Along with this our system uses a short-term prediction to predict the user behaviour and advises the system administrator accordingly, before the actual actions take place. This paper presents new results, which are based on an increased number of users. We tested our short-term prediction model, introduced the notion of intervention to our model, and found that the results are very close to the actual user behaviour

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Authors

William Buchanan
Director of CDCS
w.buchanan@napier.ac.uk
+44 131 455 2759

Areas of Expertise

Cyber-Security
Electronic information now plays a vital role in almost every aspect of our daily lives. So the need for a secure and trustworthy online infrastructure is more important than ever. without it, not only the growth of the internet but our personal interactions and the economy itself could be at risk.

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