The Android Malware Handbook
Using Manual Analysis and ML-Based Detection
$72.67
- Paperback
328 pages
- Release Date
5 December 2023
Summary
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 …
Book Details
| ISBN-13: | 9781718503304 |
|---|---|
| ISBN-10: | 171850330X |
| Author: | Qian Han, Sai Deep Tetali, Salvador Mandujano |
| Publisher: | No Starch Press,US |
| Imprint: | No Starch Press,US |
| Format: | Paperback |
| Number of Pages: | 328 |
| Release Date: | 5 December 2023 |
| Weight: | 369g |
| Dimensions: | 177mm x 234mm |
Critics Review
“A comprehensive introduction to Android malware and its analysis.”
—Maik Morgenstern, CTO at AV-TEST
“An indispensable resource for both security professionals and enthusiasts, offering unparalleled insights into the intricacies of Android malware and empowering readers to effectively guard against this pervasive threat.”
—Dimitrios Valsamaras, Senior Security Researcher at Microsoft (formerly worked on Android at Google)
“Comprehensive and exceptionally user friendly, The Android Malware Handbook should be considered essential reading for anyone with an interest in computer viruses, computer software testing, and computer hacking.”
—Midwest Book Review
Qian Han
Qian Han is a Research Scientist at Meta since 2021. He received his PhD in Computer Science from Dartmouth College and his Bachelor’s in Electronic Engineering from Tsinghua University, Beijing, China.
Salvador Mandujano is a Security Engineering Manager at Google, having led product security engineering, malware reverse engineering and payments security teams. Before Google, he held senior security research and architecture positions at Intel and Nvidia. He has a PhD in Artificial Intelligence from Tecnol gico de Monterrey, an MSc in Computer Science from Purdue, an MBA from The University of Texas, and a BSc in Computer Engineering from Universidad Nacional Aut noma de Mexico.
Sebastian Porst is manager of Google’s Android Application Security Research team, which tries to predict or research novel attacks on Android devices and Android users by malware or through app vulnerabilities. He has an MSc Masters from Trier University of Applied Sciences, Germany in 2007.
V.S. Subrahmanian is the Walter P. Murphy Professor of Computer Science and Buffet Faculty Fellow in the Buffet Institute of Global Affairs at Northwestern University. Prof. Subrahmanian is one of the world’s foremost experts at the intersection of AI and security issues. He has written eight books, edited ten, and published over 300 refereed articles.
Sai Deep Tetali is a Principal Engineer and Tech Lead Manager at Meta, working on privacy solutions for augmented and virtual reality applications. He spent 5 years at Google developing machine learning techniques to detect Android malware and has a PhD from University of California Los Angeles.
Yanhai Xiong is currently an Assistant Professor in the Department of Computer Science and Engineering at the University of Louisville. She has a PhD from Nanyang Technological University focusing on applying AI techniques to improve the efficiency of electric vehicle infrastructure and a BS in Engineering from the University of Science and Technology of China.
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