The Android Malware Handbook: Using Manual Analysis and ML-Based Detection

Author:   Qian Han ,  Sai Deep Tetali ,  Salvador Mandujano ,  Sebastian Porst
Publisher:   No Starch Press,US
ISBN:  

9781718503304


Pages:   328
Publication Date:   07 November 2023
Format:   Paperback
Availability:   To order   Availability explained
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The Android Malware Handbook: Using Manual Analysis and ML-Based Detection


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Author:   Qian Han ,  Sai Deep Tetali ,  Salvador Mandujano ,  Sebastian Porst
Publisher:   No Starch Press,US
Imprint:   No Starch Press,US
Weight:   0.369kg
ISBN:  

9781718503304


ISBN 10:   171850330
Pages:   328
Publication Date:   07 November 2023
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

Foreword Introduction Part 1: A Primer on Android Malware Chapter 1: Introduction to Android Security Chapter 2: Android Malware in the Wild Part 2: Manual Analysis Chapter 3: Static Analysis Chapter 4: Dynamic Analysis Part 3: Machine Learning Detection Chapter 5: Machine Learning Fundamentals Chapter 6: Machine Learning Features Chapter 7: Rooting Malware Chapter 8: Spyware Chapter 9: Banking Trojans Chapter 10: Ransomware Chapter 11: SMS Fraud Chapter 12: The Future of Android Malware Index

Reviews

"""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)"


"""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"


Author Information

Qian Han, Research Scientist at Meta since 2021, received his PhD in Computer Science from Dartmouth College and his Bachelor's in Electronic Engineering from Tsinghua University, Beijing, China. Salvador Mandujano, Security Engineering Manager at Google, has 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, Principal Engineer and Tech Lead Manager at Meta, works 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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