|
![]() |
|||
|
||||
OverviewBotnets 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. Full Product DetailsAuthor: Wenke Lee , Cliff Wang , David DagonPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Volume: 36 Dimensions: Width: 15.50cm , Height: 1.20cm , Length: 23.50cm Weight: 0.970kg ISBN: 9780387687667ISBN 10: 0387687661 Pages: 168 Publication Date: 29 November 2007 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsBotnet 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |