-First book on Botnets — the #1 security threat
-Includes Botnet detection techniques and response strategies
-Latest results from leading academic, industry and government experts in security
First book on Botnets — the #1 security threat
Includes Botnet detection techniques and response strategies
Latest results from leading academic, industry and government experts in security
Includes supplementary material: sn.pub/extras
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.
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.
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.
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.
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.
Inhaltsverzeichnis
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.
Klappentext
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.
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.
