Botnet Detection [electronic resource] : Countering the Largest Security Threat / edited by Wenke Lee, Cliff Wang, David Dagon.

Botnet Detection Based on Network Behavior -- Honeynet-based Botnet Scan Traffic Analysis -- Characterizing Bots Remote Control Behavior -- Automatically Identifying Trigger-based Behavior in Malware -- Towards Sound Detection of Virtual Machines -- Botnets and Proactive System Defense -- Detecting Botnet Membership with DNSBL Counterintelligence -- A Taxonomy of Botnet Structures.

Botnets have become the platform of choice for launching attacks and committing fraud on the Internet. A better understanding of Botnets will help to coordinate and develop new technologies to counter this serious security threat. Botnet Detection: Countering the Largest Security Threat, a contributed volume by world-class leaders in this field, is based on the June 2006 ARO workshop on Botnets. This edited volume represents the state-of-the-art in research on Botnets. It provides botnet detection techniques and response strategies, as well as the latest results from leading academic, industry and government researchers. Botnet Detection: Countering the Largest Security Threat is intended for researchers and practitioners in industry. This book is also appropriate as a secondary text or reference book for advanced-level students in computer science.

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