The Android Malware Handbook: Detection and Analysis by Human and Machine

Offers a comprehensive guide to Android malware, covering its history and current landscape. It details various malware types, such as trojans, ransomware, and SMS fraud, and explains both static and dynamic analysis techniques for identifying and understanding malicious applications. Furthermore, the text explores the use of machine learning methods for large-scale malware detection, discussing how different features of applications can be used as inputs for classification algorithms to differentiate between legitimate apps and malicious software.

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