Research Output
Cyber Malware: Offensive and Defensive Systems
  This book provides the foundational aspects of malware attack vectors and appropriate defense mechanisms against malware. The book equips readers with the necessary knowledge and techniques to successfully lower the risk against emergent malware attacks. Topics cover protections against malware using machine learning algorithms, Blockchain and AI technologies, smart AI-based applications, automated detection-based AI tools, forensics tools, and much more. The authors discuss theoretical, technical, and practical issues related to cyber malware attacks and defense, making it ideal reading material for students, researchers, and developers.

  • Type:

    Edited Book

  • Date:

    08 November 2023

  • Publication Status:

    Published

  • Publisher

    Springer International Publishing

  • DOI:

    10.1007/978-3-031-34969-0

  • Funders:

    Edinburgh Napier Funded

Citation

Almomani, I., Maglaras, L. A., Ferrag, M. A., & Ayres, N. (Eds.). (2023). Cyber Malware: Offensive and Defensive Systems. Cham: Springer. https://doi.org/10.1007/978-3-031-34969-0

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