Abstract:
The use of mobile agents to support the development of practical applications is limited primarily by the risks to which hosts in the system are subject to. This article ...Show MoreMetadata
Abstract:
The use of mobile agents to support the development of practical applications is limited primarily by the risks to which hosts in the system are subject to. This article introduces a distributed and adaptive security-monitoring framework to decrease such potential threats. The proposed framework is based on a modified version of the popular Boosting algorithm to classify malicious agents based on their execution patterns on current and prior hosts. Having implemented the framework for the Aglet platform, we herein present the results of our experiments showcasing the detection of agent entities in the system with intention deviating from that of their well-behaved counterparts.
Published in: 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Date of Conference: 05-12 November 2007
Date Added to IEEE Xplore: 14 January 2008
Print ISBN:0-7695-3028-1