This book provides solid, state-of-the-art contributions from both scientists and practitioners working on botnet detection and analysis, including botnet economics. It presents original theoretical and empirical chapters dealing with both offensive and defensive aspects in this field. Chapters address fundamental theory, current trends and techniques for evading detection, as well as practical experiences concerning detection and defensive strategies for the botnet ecosystem, and include surveys, simulations, practical results, and case studies.
This book provides solid, state-of-the-art contributions from both scientists and practitioners working on botnet detection and analysis, including botnet economics
| Preface |
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vii | |
| About the Editors |
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ix | |
| Contributors |
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xi | |
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1 Botnet Architectures: A State-of-the-Art Review |
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1 | (32) |
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2 IoT Botnets: The Journey So Far and the Road Ahead |
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33 | (68) |
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3 IoT Botnet Traits and Techniques: A View of the State of the Art |
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101 | (64) |
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4 Advanced Information Hiding Techniques for Modern Botnets |
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165 | (24) |
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5 Steganography Techniques for Command and Control (C2) Channels |
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189 | (28) |
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6 Blockchain-Based Botnets for Command-and-Control Resilience |
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217 | (20) |
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7 Detecting Botnets and Unknown Network Attacks in Big Traffic Data |
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237 | (32) |
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8 Domain Generation Algorithm Detection Techniques through Network Analysis and Machine Learning |
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269 | (24) |
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9 Identifying IoT-Based Botnets: A Microservice Architecture for IoT Management and Security |
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293 | (34) |
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10 Understanding and Detecting Social Botnet |
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327 | (32) |
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11 Use of Botnets for Mining Cryptocurrencies |
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359 | (28) |
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12 Time to Diverge the Botnet Revenues from Criminal Wallet? |
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387 | (16) |
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Giuseppe Giulio Rutigliano |
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| Index |
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403 | |
Dr. Marios Anagnostopoulos received his Ph.D. degree in information and
communication systems engineering from the Department of Information and
Communication Systems Engineering, University of the Aegean, Greece, in 2016.
The title of his doctoral thesis was DNS as a multipurpose attack vector.
Currently, he is Post-Doctoral Research Fellow in the Norwegian University of
Science and Technology (NTNU). Prior to joining NTNU, he worked as Post-
Doctoral Research Fellow in the Singapore University of Technology and Design
(SUTD). His research interests are in the fields of network security and privacy,
mobile and wireless networks security, cyber-physical security, and blockchain in
security and privacy.
Dr. Georgios Kambourakis received the Ph.D. degree in information and communication
systems engineering from the Department of Information and Communications
Systems Engineering, University of the Aegean, Greece, where he is
currently an associate professor, and the head of the department. His research
interests are in the fields of mobile and wireless networks security and privacy. He
has over 120 refereed publications in the aforementioned fields of study. For more
information, please visit http://www.icsd.aegean.gr/gkamb.
Dr. Weizhi Meng is currently an assistant professor in the Cyber Security Section,
Department of Applied Mathematics and Computer Science, Technical University
of Denmark (DTU), Denmark. He received his Ph.D. degree in computer science
from the City University of Hong Kong (CityU), China. Prior to joining DTU, he
worked as a research scientist in Institute for Infocomm Research, A*Star, Singapore,
and as a senior research associate in CS Department, CityU. He won the Outstanding
Academic Performance Award during his doctoral study and is a recipient of
the Hong Kong Institution of Engineers (HKIE) Outstanding Paper Award for
Young Engineers/Researchers in both 2014 and 2017. He is also a recipient of Best
Paper Award from ISPEC 2018 and Best Student Paper Award from NSS 2016. His
primary research interests are cyber security and intelligent technology in security,
including intrusion detection, smartphone security, biometric authentication, HCI
security, trust management, blockchain in security, and malware analysis.
Dr. Peng Zhou is currently an associate professor at Shanghai University. He has
received his Ph.D. degree from the Hong Kong Polytechnic University and
worked as a research fellow in Singapore Nanyang Technological University for
one year. His research interests include network security, computer worms and
propagation, and machine learning.
