An intelligent agent-based framework for collaborative information security

Authors:
M. H. Kuo
Affiliations:
Department of Information Management, Chaoyang University of Technology, Taichung County, Taiwan
Venue:
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Year:
2005

Citing 4
Cited 0

An Intrusion-Detection Model

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Abstract

In this paper we proposed a framework for collaborative intelligent agents in a distributed environment to execute sound security strategies to protect information resources. First, the intelligent agent based Duty Reliable Center in the framework uses group decision method to determine a global information threat level. Then local agent employs the threat level and applies the Bayes’ decision procedure to calculate expected loss of its all possible actions, and choices an action among them with minimum expected loss to protect its information resources. The model enables an agent to choose among alternatives in an optimal fashion, taking into account the worth of acquiring prior information to reduce the uncertainty. Because system operations are distributed, hackers are unlikely to wreck the whole system. Thus, it is expected to yield information security cost-effective solutions.