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Lee, Wenke (Hrsg.): 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.

 


Autor Lee, Wenke (Hrsg.) / Wang, Cliff (Hrsg.) / Dagon, David (Hrsg.)
Verlag Springer Nature EN
Einband Kartonierter Einband (Kt)
Erscheinungsjahr 2010
Seitenangabe 168 S.
Meldetext Lieferbar in ca. 20-45 Arbeitstagen
Ausgabekennzeichen Englisch
Abbildungen Previously published in hardcover
Masse 1 Ex.; H23.5 cm x B15.5 cm 284 g
Coverlag Springer (Imprint/Brand)
Auflage Softcover reprint of hardcover 1st ed. 2008
Reihe Advances in Information Security

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.

 


Fr. 181.00
ISBN: 978-1-4419-4330-9
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