The Android Malware Handbook: Detection And Analysis By Human And Machine,Used

The Android Malware Handbook: Detection And Analysis By Human And Machine,Used

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Brand: No Starch Press
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Written by machinelearning researchers and members of the Android Security team, this allstar guide tackles the analysis and detection of malware that targets the Android operating system.This groundbreaking guide to Android malware distills years of research by machine learning experts in academia and members of Meta and Googles Android Security teams into a comprehensive introduction to detecting common threats facing the Android ecosystem today.Explore the history of Android malware in the wild since the operating system first launched and then practice static and dynamic approaches to analyzing real malware specimens. Next, examine machine learning techniques that can be used to detect malicious apps, the types of classification models that defenders can implement to achieve these detections, and the various malware features that can be used as input to these models. Adapt these machine learning strategies to the identification of malware categories like banking trojans, ransomware, and SMS fraud.Youll:Dive deep into the source code of real malware Explore the static, dynamic, and complex features you can extract from malware for analysis Master the machine learning algorithms useful for malware detection Survey the efficacy of machine learning techniques at detecting common Android malware categoriesThe Android Malware Handbooks team of expert authors will guide you through the Android threat landscape and prepare you for the next wave of malware to come.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

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