Botnet Detection (eBook, PDF)

Countering the Largest Security Threat
Redaktion: Lee, Wenke; Dagon, David; Wang, Cliff

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer US
• Seitenzahl: 168
• Erscheinungstermin: 23. Oktober 2007
• Englisch
• ISBN-13: 9780387687681
• Artikelnr.: 37288259

Inhaltsangabe

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.