MTU Library Catalogue

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Botnet detection : countering the largest security threat / edited by Wenke Lee, Cliff Wang and David Dagon.

Contributor(s): Lee, Wenke, 1966- | Wang, Cliff | Dagon, David.
Material type: materialTypeLabelBookSeries: Advances in information security, privacy, and ethics (AISPE) book series: Publisher: New York : Springer, 2007Description: xii, 167 p. : ill. ; 25 cm. + hbk.ISBN: 9780387687667 ; 0387687661 ; 9780387687681 (ebook); 0387687688 (ebook).Subject(s): Computer networks -- Access control -- Congresses | Computer networks -- Security measures -- Congresses | Computer security -- Congresses | Data protection -- CongressesDDC classification: 005.8
Contents:
Botnet Detection Based on Network Behavior / W. Timothy Strayer, David Lapsely, Robert Walsh and Carl Livadas -- Honeynet-based Botnet Scan Traffic Analysis / Zhichun Li, Anup Goyal and Yan Chen -- Characterizing Bots' Remote Control Behavior / Elizabeth Stinson and John C. Mitchell -- Automatically Identifying Trigger-based Behavior in Malware / David Brumley, Cody Hartwig, Zhenkai Liang, James Newsome, Dawn Song and Heng Yin -- Towards Sound Detection of Virtual Machines / Jason Franklin, Mark Luk, Jonathan M. McCane, Arvind Seshadri, Adrian Perrig, Leendert van Doorn -- Botnets and Proactive System Defense / John Bambenek and Agnes Klus -- Detecting Botnet Membership with DNSBL Counterintelligence / Anirudh Ramachandran, Nick Feamster and David Dagon -- A Taxonomy of Botnet Structures / David Dagon, Guofei Gu, Christopher P. Lee.
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Bishopstown Library Lending 005.8 (Browse shelf(Opens below)) 1 Available 00188236
Total holds: 0

Enhanced descriptions from Syndetics:

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.

Includes bibliographical references and index.

Botnet Detection Based on Network Behavior / W. Timothy Strayer, David Lapsely, Robert Walsh and Carl Livadas -- Honeynet-based Botnet Scan Traffic Analysis / Zhichun Li, Anup Goyal and Yan Chen -- Characterizing Bots' Remote Control Behavior / Elizabeth Stinson and John C. Mitchell -- Automatically Identifying Trigger-based Behavior in Malware / David Brumley, Cody Hartwig, Zhenkai Liang, James Newsome, Dawn Song and Heng Yin -- Towards Sound Detection of Virtual Machines / Jason Franklin, Mark Luk, Jonathan M. McCane, Arvind Seshadri, Adrian Perrig, Leendert van Doorn -- Botnets and Proactive System Defense / John Bambenek and Agnes Klus -- Detecting Botnet Membership with DNSBL Counterintelligence / Anirudh Ramachandran, Nick Feamster and David Dagon -- A Taxonomy of Botnet Structures / David Dagon, Guofei Gu, Christopher P. Lee.

Table of contents provided by Syndetics

  • Botnet Detection Based on Network Behavior (p. 1)
  • Honeynet-based Botnet Scan Traffic Analysis (p. 25)
  • Characterizing Bots' Remote Control Behavior (p. 45)
  • Automatically Identifying Trigger-based Behavior in Malware (p. 65)
  • Towards Sound Detection of Virtual Machines (p. 89)
  • Botnets and Proactive System Defense (p. 117)
  • Detecting Botnet Membership with DNSBL Counterintelligence (p. 131)
  • A Taxonomy of Botnet Structures (p. 143)