PDF [DOWNLOAD] The Android Malware Handbook:

The Android Malware Handbook: Detection and Analysis by Human and Machine 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
• Page: 328
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781718503304
• Publisher: No Starch Press

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

Free downloadable ebooks in pdf format The Android Malware Handbook: Detection and Analysis by Human and Machine 9781718503304

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.

Comparing Machine Learning Techniques for Malware
Keywords: Malware Analysis, Data Science, Machine Learning, Detection, Malicious Behavior. Abstract: Cyberattacks and the use of malware are more and more 
Evading EDR: The Definitive Guide to Defeating Endpoint
Evading EDR: The Definitive Guide to Defeating Endpoint Detection Systems. +. The Android Malware Handbook: Detection and Analysis by Human and Machine. Choose 
The Android Malware Handbook: Detection and Analysis
Adapt these machine learning strategies to the identifica-tion of malware categories like banking trojans, ransomware, and SMS fraud. You'll:.
The Android Malware Handbook: Detection and Analysis
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 
Evasive Malware: Understanding Deceptive and Self-
Get up to speed on state-of-the-art malware with this first-ever guide to analyzing malicious Windows software designed to actively avoid detection and 
Computer Hacking Books
The Android Malware Handbook: Detection and Analysis by Human and MachineThe 
Coming Soon - Computer Security & Encryption
The Android Malware Handbook: Detection and Analysis by Human and Machine. by Qian Han · Paperback. $49.99$49.99. Pre-order Price Guarantee. FREE delivery Wed 

Links: pdf , pdf , pdf , pdf , pdf , pdf , pdf , pdf , pdf , pdf .