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An agent based Bayesian forecasting model for enhanced network security.

Pikoulas, John, Buchanan, William J, Mannion, Mike and Triantafyllopoulos, K (2001) An agent based Bayesian forecasting model for enhanced network security. In: Engineering of Computer Based Systems, 2001. ECBS 2001. Proceedings. Eighth Annual IEEE International Conference and Workshop on the. IEEE, Washington, 247 - 254. ISBN 0-7695-1086-8

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    Abstract/Description

    Security has become a major issue in many organisations, but most systems still rely on operating systems, and a user ID and password system to provide user authentication and validation. They also tend to be centralized in their approach which makes them open to an attack. This paper presents a distributed approach to network security using agents, and presents a novel application of the Bayesian forecasting technique to predict user actions. The Bayesian method has been used in the past on weather forecasting and has been expanded so that it can be used to provide enhanced network security by trying to predict user actions. For this a system can determine if a user is acting unpredictably or has changed their normal working pattern. Results are also given which show that the new model can predict user actions, and a set of experiments are proposed for further exploitation of the method.

    Item Type: Book Section
    ISBN: 0-7695-1086-8
    Additional Information: ("(c) 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.")
    Uncontrolled Keywords: security systems; user authentication; validation;distributed approach; Bayesian forecasting; user behaviour;
    University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
    Dewey Decimal Subjects: 500 Science > 510 Mathematics > 519 Probabilities & applied mathematics
    000 Computer science, information & general works > 000 Computer science, knowledge & systems > 005 Computer programming, programs & data > 005.8 Data security
    Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Item ID: 3993
    Depositing User: Professor Bill Buchanan
    Date Deposited: 22 Dec 2010 15:50
    Last Modified: 14 Mar 2014 11:30
    URI: http://researchrepository.napier.ac.uk/id/eprint/3993

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