Botnet Detection: Countering the Largest Security Threat
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Product Description
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.
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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network behavior, remote control behavior, path selector, intrusion detection, botnet structures, partial configuration information, undetected commands, benchmarking loop, reconnaissance queries, botnet membership, legitimate mail server, honeynet traffic, correlative propagation, different botnets, local user input, mixed execution, system call invocations, botnet detection, local transitivity, dynamic binary instrumentation, weighted bandwidth, bot clients, chat flows, ger inputs, bot behavior Key Phrases - Capitalized Phrases (CAPs): (learn more)
David Dagon, Timothy Strayer, Robert Walsh, Van Doom, David Lapsely, Intel Pentium, Mixed Execution Engine, Towards Sound Detection of Virtual Machines, Automatically Identifying Trigger-based Behavior, Hot Topics, Carl Livadas, Anup Goyal, Understanding Botnets, Taxonomy of Botnet Structures, Technical Report, Botnet Detection Based, Nick Feamster, Honeynet-based Botnet Scan Traffic Analysis, Anirudh Ramachandran, Security Symposium, Yan Chen, Reducing Unwanted Traffic, Wenke Lee, Naïve Bayes, Detecting Botnet Membership Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
network behavior, remote control behavior, path selector, intrusion detection, botnet structures, partial configuration information, undetected commands, benchmarking loop, reconnaissance queries, botnet membership, legitimate mail server, honeynet traffic, correlative propagation, different botnets, local user input, mixed execution, system call invocations, botnet detection, local transitivity, dynamic binary instrumentation, weighted bandwidth, bot clients, chat flows, ger inputs, bot behavior Key Phrases - Capitalized Phrases (CAPs): (learn more)
David Dagon, Timothy Strayer, Robert Walsh, Van Doom, David Lapsely, Intel Pentium, Mixed Execution Engine, Towards Sound Detection of Virtual Machines, Automatically Identifying Trigger-based Behavior, Hot Topics, Carl Livadas, Anup Goyal, Understanding Botnets, Taxonomy of Botnet Structures, Technical Report, Botnet Detection Based, Nick Feamster, Honeynet-based Botnet Scan Traffic Analysis, Anirudh Ramachandran, Security Symposium, Yan Chen, Reducing Unwanted Traffic, Wenke Lee, Naïve Bayes, Detecting Botnet Membership Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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