Botnet Detection Countering the Largest Security Threat /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Lee, Wenke (Επιμελητής έκδοσης), Wang, Cliff (Επιμελητής έκδοσης), Dagon, David (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2008.
• Σειρά: Advances in Information Security, 36
• Θέματα: Computer science.; Computer organization.; Computer communication systems.; Computer security.; Data structures (Computer science).; Data encryption (Computer science).; Computer Science.; Systems and Data Security.; Computer Communication Networks.; Data Encryption.; Information Systems Applications (incl. Internet).; Data Structures, Cryptology and Information Theory.; Computer Systems Organization and Communication Networks.

 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. . 

 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.