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Botnet Detection

Countering the Largest Security Threat

Wenke Lee Cliff Wang David Dagon

$260.95   $208.95

Hardback

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English
Springer-Verlag New York Inc.
29 November 2007
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.

 

Edited by:   , ,
Imprint:   Springer-Verlag New York Inc.
Country of Publication:   United States
Volume:   36
Dimensions:   Height: 235mm,  Width: 155mm,  Spine: 12mm
Weight:   970g
ISBN:   9780387687667
ISBN 10:   0387687661
Series:   Advances in Information Security
Pages:   168
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
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.

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