Botnets Architectures, Countermeasures, and Challenges Series in Security, Privacy and Trust Series
Coordonnateurs : Kambourakis Georgios, Anagnostopoulos Marios, Meng Weizhi, Zhou Peng
![Couverture de l’ouvrage Botnets](https://images.lavoisier.fr/couvertures/1317938757.jpg)
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.
Contents
Preface .......................................................................................................... vii
About the Editors ...........................................................................................ix
Contributors...................................................................................................xi
1 Botnet Architectures: A State-of-the-Art Review.................................... 1
BASHEER AL-DUWAIR AND MOATH JARRAH
2 IoT Botnets: The Journey So Far and the Road Ahead........................ 33
PASCAL GEENENS
3 IoT Botnet Traits and Techniques: A View of the State of the Art .... 101
PASCAL GEENENS
4 Advanced Information Hiding Techniques for Modern Botnets ....... 165
LUCA CAVIGLIONE, WOJCIECH MAZURCZYK, AND STEFFEN
WENDZEL
5 Steganography Techniques for Command and Control
(C2) Channels.................................................................................... 189
JEDRZEJ BIENIASZ AND KRZYSZTOF SZCZYPIORSKI
6 Blockchain-Based Botnets for Command-and-Control Resilience .... 217
WEIZHI WANG AND XIAOBO MA
7 Detecting Botnets and Unknown Network Attacks in
Big Traffic Data ................................................................................. 237
LUIS SACRAMENTO, IBÉRIA MEDEIROS, JOÃO BOTA, AND MIGUEL
CORREIA
8 Domain Generation Algorithm Detection Techniques through
Network Analysis and Machine Learning .......................................... 269
FEDERICA BISIO, SALVATORE SAELI, AND DANILO MASSA
9 Identifying IoT-Based Botnets: A Microservice Architecture for
IoT Management and Security........................................................... 293
THARUN KAMMARA AND MELODY MOH
10 Understanding and Detecting Social Botnet.......................................327
YUEDE JI AND QIANG LI
11 Use of Botnets for Mining Cryptocurrencies ......................................359
RENITA MURIMI
12 Time to Diverge the Botnet Revenues from Criminal Wallet?............387
GIOVANNI BOTTAZZI, GIANLUIGI ME, PIERLUIGI PERRONE, AND
GIUSEPPE GIULIO RUTIGLIANO
Index............................................................................................................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
Date de parution : 08-2022
15.6x23.4 cm
Date de parution : 10-2019
15.6x23.4 cm
Thèmes de Botnets :
Mots-clés :
TCP Connection; IoT Device; Mobile Botnets; DoS Attack; Information Hiding Techniques; Launch DDOS Attack; Public IP Address; Bot Herder; IP Address; Port Tcp; Unsupervised Machine Learning; Social Bots; Botnet Detection; Network Steganography; IRC Protocol; ICMP; Data Set; Covert Channels; DNS Traffic; P2P Botnets; C2 Channel; IRC Server; Evasion Mechanisms; Unsupervised Ml Algorithm; Destination IP Address