Botnet Detection Countering the Largest Security Threat /

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 contribut...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Lee, Wenke (Editor ), Wang, Cliff (Editor ), Dagon, David (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Advances in Information Security,
Temas:
Data protection.
Computer networks .
Cryptography.
Data encryption (Computer science).
Application software.
Data structures (Computer science).
Information theory.
Computer engineering.
Data and Information Security.
Computer Communication Networks.
Cryptology.
Computer and Information Systems Applications.
Data Structures and Information Theory.
Computer Engineering and Networks.
Acceso en línea:Texto Completo
Descripción
Sumario: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. .
Descripción Física:XII, 168 p. online resource.
ISBN:9780387687681
ISSN:2512-2193

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