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The Android Malware Handbook vs Cybersécurité et Malwares: Which Should You Read?

Two cybersecurity books on Malware, compared honestly: who each is for, what each does best, and which to read first.

Advanced

4/52023

Using Manual Analysis and ML-Based Detection

Qian Han, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Sai Deep Tetali, Yanhai Xiong

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

4/52025

Cybersécurité et Malwares

Détection, analyse et Threat Intelligence

Sébastien Larinier, Paul Rascagnères

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.

Read this if

Mobile security engineers and ML practitioners who need to go beyond signature-based Android AV into classification models and feature engineering for malware families. Written by people who actually built detection at Android-scale, not academics theorizing about it.

French-speaking malware analysts and forensic investigators who want one comprehensive reference covering every major platform (Windows, macOS, Linux, mobile) in a single volume, through to collecting and sharing Threat Intelligence.

Skip this if

Readers who want iOS coverage (none here) or who need an introduction to machine learning itself; the book assumes ML fluency and applies it to Android malware specifically, rather than teaching ML from scratch.

Beginners with no systems or security background at all; the 687 pages cover broad, technical ground that assumes existing familiarity with systems administration and security fundamentals.

Key takeaways

Walks the history of Android malware in the wild since the OS launched, giving the classification models real evolutionary context instead of a static snapshot.
Covers both static and dynamic analysis of real specimens before getting to the ML layer, so detection models sit on top of sound manual analysis.
Breaks down ML strategies by malware category (banking trojans, ransomware, SMS fraud), each with the specific features that actually discriminate it.

One of the few French-language references covering malware analysis across every major platform in one book, mobile included.
Rascagnères is a recognized APT threat researcher, so the content reflects real professional practice, not just academic theory.
A fifth edition with regular re-releases keeps the material broadly current, rare for a French-language technical book.

How they compare

The Android Malware Handbook and Cybersécurité et Malwares are both rated 4/5 in our catalog. Pick by topic preference and reading style rather than by rating.

Both books target advanced-level readers, so the choice is about topic, not difficulty.

The Android Malware Handbook and Cybersécurité et Malwares both cover Malware, so reading them in sequence reinforces the same material from different angles.

Keep reading

The Android Malware Handbook

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