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DIDS (Distributed Intrusion Detection System) - Motivation, Architecture, and An Early Prototype
- In Proceedings of the 14th National Computer Security Conference
, 1991
"... Intrusion detection is the problem of identifying unauthorized use, misuse, and abuse of computer systems by both system insiders and external penetrators. The proliferation of heterogeneous computer networks provides additional implications for the intrusion detection problem. Namely, the increa ..."
Abstract
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Cited by 81 (0 self)
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Intrusion detection is the problem of identifying unauthorized use, misuse, and abuse of computer systems by both system insiders and external penetrators. The proliferation of heterogeneous computer networks provides additional implications for the intrusion detection problem. Namely, the increased connectivity of computer systems gives greater access to outsiders, and makes it easier for intruders to avoid detection. IDS's are based on the belief that an intruder's behavior will be noticeably different from that of a legitimate user. We are designing and implementing a prototype Distributed Intrusion Detection System (DIDS) that combines distributed monitoring and data reduction (through individual host and LAN monitors) with centralized data analysis (through the DIDS director) to monitor a heterogeneous network of computers. This approach is unique among current IDS's. A main problem considered in this paper is the Network -user Identification problem, which is concerned ...
Intention Modelling: Approximating Computer User Intentions for Detection and Prediction of Intrusions
- IN: S.K. KATSIKAS, D. GRITZALIS (EDS.), INFORMATION SYSTEM SECURITY, SAMOS, GREEZE
, 1996
"... This paper introduces and describes an innovative modelling approach which utilises models that are synthesised through approximate calculations of user actions and extensive representation of knowledge about how to perform these actions. The Intention modelling approach is based on theories of co ..."
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Cited by 12 (0 self)
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This paper introduces and describes an innovative modelling approach which utilises models that are synthesised through approximate calculations of user actions and extensive representation of knowledge about how to perform these actions. The Intention modelling approach is based on theories of cognitive and task modelling as well as on theories of intention, rational action and plan recognition. Intention Models (IMs) have been used in the detection of malicious attacks which usually do not consist of illegal actions, but of a set of actions individually acceptable to the system which at a higher level may form non acceptable task(s). A first effort at implementing these models for a real application was for the creation of the UII system, a research prototype for the detection of anomalous behaviour of network users obtained by reasoning about the characterisation of their intentions. It was developed as an autonomous module within SECURENET, a European funded programme that aims at defending open computer systems, employing advanced techniques and methodologies.

