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Botnet Detection

af Cliff Wang, Wenke Lee, David Dagon

indgår i Advances in Information Security serien

Botnet Detection af Cliff Wang
Bag om Botnet Detection

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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780387687667
  • Indbinding:
  • Hardback
  • Sideantal:
  • 180
  • Udgivet:
  • 29. november 2007
  • Størrelse:
  • 160x15x241 mm.
  • Vægt:
  • 442 g.
  • 8-11 hverdage.
  • 11. december 2024
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Forlænget returret til d. 31. januar 2025

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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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