rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Botnets
    sub title: Architectures, Countermeasures, and Challenges
  name:
    name part: Kambourakis, Georgios
    role:
      role term: editor.
  name:
    name part: Anagnostopoulos, Marios
    role:
      role term: editor.
  name:
    name part: Meng, Weizhi
    role:
      role term: editor.
  name:
    name part: Zhou, Peng
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2019
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xii, 426 pages)
  abstract: 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.
  table of contents: Botnet Architectures: A State-of-the-Art Review / Basheer Al-Duwair and Moath Jarrah -- IoT Botnets: The Journey So Far and the Road Ahead / Pascal Geenens -- IoT Botnet Traits and Techniques: A View of the State of the Art / Pascal Geenens -- Advanced Information Hiding Techniques for Modern Botnets / Luca Caviglione,Wojcoech Mazurczyk, and Steffen Wendzel -- Steganography Techniques for Command and Control (C2) Channels / Jedrzej Bieniasz and Krzysztof Szczypiorski -- Blockchain-Based Botnets for Command-and-Control Resilience / Weizhi Wang and Xiabob Ma -- Detecting Botnets and Unknown Network Attacks in Big Traffic Data / Luis Sacramento, Ibéria Medeiros, João Bota, and Miguel Correia -- Domain Generation Algorithm Detection Techniques through Network Analysis and Machine Learning / Federica Bisio, Salvatore Saeli, and Danilo Massa -- Identifying IoT-Based Botnets: A Microservice Architecture for IoT Management and Security / Tharun Kammara and Melody Moh -- Understanding and Detecting Social Botnet / Yuede Ji and Qiang Li -- Use of Botnets for Mining Cryptocurrencies / Renita Murimi -- Time to Diverge the Botnet Revenues from Criminal Wallet? / Giovanni Bottazzi, Gianluigi Me, Pierluigi Perrone, and Giuseppe Guilio Rutigliano.
  note: 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 Stu…
  subject:
    topic: Mobile communication systems
    topic: Security measures
  subject:
    topic: Intrusion detection systems (Computer security)
  subject:
    topic: Radiocommunications mobiles
    topic: Sécurité
    topic: Mesures
  subject:
    topic: Systèmes de détection d'intrusion (Sécurité informatique)
  subject:
    topic: COMPUTERS
    topic: Information Technology
  subject:
    topic: COMPUTERS
    topic: Networking
    topic: General
  subject:
    topic: COMPUTERS
    topic: Security
    topic: General
  subject:
    topic: Intrusion detection systems (Computer security)
  classification: TK5102.85
  classification: 621.3845
  related item:
    title info:
      title: Series in security, privacy, and trust
  identifier: 9780429329913
  identifier: 0429329911
  identifier: 9781000649932
  identifier: 1000649938
  identifier: 9781000644951
  identifier: 1000644952
  identifier: 9781000639971
  identifier: 1000639975
  identifier: 9780367191542
  identifier: 9780429329913 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: TYFRS
    record creation date: 191003
    record change date: 20241108170016.0
    record identifier: in00005525850
    language of cataloging:
      language term: eng