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Botnet Detection

Countering the Largest Security Threat

Wenke Lee, Cliff Wang, David Dagon (Herausgeber)

Buch | Hardcover
168 Seiten
2007
Springer-Verlag New York Inc.
978-0-387-68766-7 (ISBN)

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Botnet Detection -
CHF 149,75 inkl. MwSt
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. It provides botnet detection techniques and response strategies, as well as the latest results from leading academic, industry and government researchers.
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.

 

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.

Reihe/Serie Advances in Information Security ; 36
Zusatzinfo XII, 168 p.
Verlagsort New York, NY
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Netzwerke Sicherheit / Firewall
Informatik Theorie / Studium Kryptologie
ISBN-10 0-387-68766-1 / 0387687661
ISBN-13 978-0-387-68766-7 / 9780387687667
Zustand Neuware
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