Wenke Lee & Cliff Wang 
Botnet Detection [PDF ebook] 
Countering the Largest Security Threat

поддержка

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.

 

€96.29
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Содержание

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.

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язык английский ● Формат PDF ● страницы 168 ● ISBN 9780387687681 ● Размер файла 3.5 MB ● редактор Wenke Lee & Cliff Wang ● издатель Springer US ● город NY ● Страна US ● опубликованный 2007 ● Загружаемые 24 месяцы ● валюта EUR ● Код товара 2145417 ● Защита от копирования Социальный DRM

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