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Title Botnet detection : countering the largest security threat / edited by Wenke Lee, Cliff Wang and David Dagon
Published New York ; London : Springer, 2007
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Description 1 online resource (xii, 167 pages) : illustrations
Series Advances in information security ; v. 36
Advances in information security ; v. 36
Contents Front Matter; 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; Back Matter
Summary 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
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Computer networks -- Security measures -- Congresses.
Genre/Form Conference papers and proceedings.
Conference papers and proceedings.
Form Electronic book
Author Lee, Wenke, 1966-
Wang, Cliff.
Dagon, David.
ISBN 9780387687681
0387687661 (hbk.)
9780387687667 (hbk.)