Book The Android Malware Handbook: Detection and Analysis by Human and Machine PDF Download - Qian Han, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Sai Deep Tetali Yanhai Xiong

Download ebook ➡ http://get-pdfs.com/pl/book/690350/886

The Android Malware Handbook: Detection and Analysis by Human and Machine
Qian Han, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Sai Deep Tetali Yanhai Xiong
Page: 328
Format: pdf, ePub, mobi, fb2
ISBN: 9781718503304
Publisher: No Starch Press

Download or Read Online The Android Malware Handbook: Detection and Analysis by Human and Machine Free Book (PDF ePub Mobi) by Qian Han, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Sai Deep Tetali Yanhai Xiong
The Android Malware Handbook: Detection and Analysis by Human and Machine Qian Han, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Sai Deep Tetali Yanhai Xiong PDF, The Android Malware Handbook: Detection and Analysis by Human and Machine Qian Han, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Sai Deep Tetali Yanhai Xiong Epub, The Android Malware Handbook: Detection and Analysis by Human and Machine Qian Han, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Sai Deep Tetali Yanhai Xiong Read Online, The Android Malware Handbook: Detection and Analysis by Human and Machine Qian Han, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Sai Deep Tetali Yanhai Xiong Audiobook, The Android Malware Handbook: Detection and Analysis by Human and Machine Qian Han, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Sai Deep Tetali Yanhai Xiong VK, The Android Malware Handbook: Detection and Analysis by Human and Machine Qian Han, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Sai Deep Tetali Yanhai Xiong Kindle, The Android Malware Handbook: Detection and Analysis by Human and Machine Qian Han, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Sai Deep Tetali Yanhai Xiong Epub VK, The Android Malware Handbook: Detection and Analysis by Human and Machine Qian Han, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Sai Deep Tetali Yanhai Xiong Free Download

Overview
Written by machine-learning researchers and members of the Android Security team, this all-star 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 Google’s Android Security teams into a comprehensive introduction to detecting common threats facing the Android eco-system 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 identifica-tion of malware categories like banking trojans, ransomware, and SMS fraud.

You’ll:

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 categories
The Android Malware Handbook’s team of expert authors will guide you through the Android threat landscape and prepare you for the next wave of malware to come.