// What to read next

What to read after Malware Data Science

Where to go after Malware Data Science, picked from our catalog. The next step up from intermediate level, weighted toward the topics this book covers.

  1. 01 · 2024

    Evading EDR

    A component-by-component teardown of how modern EDR sensors actually collect telemetry, and where each data source can be starved, blinded, or bypassed.

    Advanced
    4/5Matt Hand
  2. 02 · 2023

    The Android Malware Handbook

    Machine-learning researchers and members of Meta's and Google's Android Security teams distill years of research into detecting banking trojans, ransomware, and SMS fraud on Android, combining manual analysis with classification models.

    Advanced
    4/5Qian Han, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Sai Deep Tetali, Yanhai Xiong
  3. 03 · 2025

    The Art of Mac Malware, Volume 2

    The detection-focused sequel to Volume 1, Wardle turns from analyzing Mac malware to building the heuristics and tooling that catch it, using macOS's security frameworks and real-world malware samples throughout.

    Advanced
    4/5Patrick Wardle
  4. 04 · 2014

    The Art of Memory Forensics

    Ligh, Case, Levy, and Walters' canonical reference on memory analysis with Volatility — the technique, the tooling, and the operating-system internals it depends on, across Windows, Linux, and macOS.

    Advanced
    5/5Michael Hale Ligh, Andrew Case, Jamie Levy, AAron Walters
  5. 05 · 2025

    Cybersécurité et Malwares

    Now in its 5th edition, the French-language reference for malware analysis by Sébastien Larinier and Paul Rascagnères, a well-known APT threat researcher, running from identification to Threat Intelligence across Windows, macOS, Linux, Android, and iOS.

    Advanced
    4/5Sébastien Larinier, Paul Rascagnères
  6. 06 · 2025

    Data Engineering for Cybersecurity

    A decade-plus threat analyst teaches how to collect, normalize, enrich, and secure the telemetry (logs, events, metrics) that security teams depend on, using open-source tools like Filebeat, Logstash, Redis, Kafka, and Elasticsearch.

    Advanced
    4/5James Bonifield
  7. 07 · 2026

    Dissecting the Dark Web

    HUMAN Security's VP of Threat Intelligence tears down real malware-as-a-service offerings sold on dark web forums, chapter by chapter, from stealers and loaders to ransomware and living-off-the-land post-exploitation kits.

    Advanced
    4/5Lindsay Kaye
  8. 08 · 2024

    Evasive Malware

    Kyle Cucci on the anti-analysis arms race: sandbox detection, anti-debug, anti-VM, packing, and the analyst-side tooling and tradecraft that get past those layers.

    Advanced
    4/5Kyle Cucci
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