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 consists of chapters contributed by world-class leaders in this field, from the June 2006 ARO workshop on Botnets. This edited volume represents the state-of-the-art in research on Botnets. It is intended for researchers and advanced-level students in computer science. This book is also appropriate for practitioners in industry.



Inhalt
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.
Titel
Botnet Detection
Untertitel
Countering the Largest Security Threat
EAN
9780387687681
Format
E-Book (pdf)
Veröffentlichung
23.10.2007
Digitaler Kopierschutz
Wasserzeichen
Dateigrösse
7.32 MB
Anzahl Seiten
168