Malware analysis using artificial intelligence and deep learning

Mark Stamp, Mamoun Alazab, Andrii Shalaginov

    Research output: Book/ReportEdited Book

    15 Citations (Scopus)

    Abstract

    This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed. This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.

    Original languageEnglish
    PublisherSpringer
    Number of pages651
    Edition1
    ISBN (Electronic)9783030625825
    ISBN (Print)9783030625818
    DOIs
    Publication statusPublished - 20 Dec 2020

    Bibliographical note

    Publisher Copyright:
    © The Editor(s) (if applicable) and The Author(s), 2021. All rights reserved.

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