An Agent Based Bayesian Forecasting Model for Enhanced Network Security
Triantafyllopoulos, K. (2001). An Agent Based Bayesian Forecasting Model for Enhanced Network Security. In: (Ed.) Engineering of Computer Based Systems, 2001. ECBS 2001. Proceedings. Eighth Annual IEEE International Conference and Workshop on the , , () (April ed.). (pp. 247 - 254). Washington: . IEEE.
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.
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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.