Abstract
Reliance on the Internet in the workplace means that manually monitoring compliance with an Acceptable Usage Policy (AUP) is impractical given the volumes of data generated. Therefore, for such a system to function effectively, the processing of vast audit trails obtained must be processed by automated means. This paper introduces the incorporation of a novel user-monitoring framework into the domain of software agents for large-scale auditing of Internet use with possible extensions to general network use. It is intended that such an approach would replace current ad-hoc methods such as those based on perusing server logs with a more accurate representation of user activity. The system described herein is an experimental multi-agent one provisionally known as WebEngzilla, which actively monitors and reports on the Web browsing behaviour habits of network users unifying an ambient client monitoring system with a distributed data mining back end.
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