Everything about Android 16

🧭 Start here: a 6-step reading path

1. Read the overview: Android 16A 5-minute orientation
2. Skim a recent paper: EfficientNet convolutional neural networks-based Android malware detectionInfluential work since 2022
3. Pick up a classic book: Fugitive TelemetryThe most-reprinted book on the subject
4. Read the landmark paper: The Evolution of Android Malware and Android Analysis TechniquesCited 296 times
5. Go sideways: Android 13A closely related topic
6. Go sideways: Android 11A closely related topic

🏆 Landmark papers (most cited)

• The Evolution of Android Malware and Android Analysis Techniques

  Kimberly Tam, Ali Feizollah, Nor Badrul Anuar · 2017 · ACM Computing Surveys · 296 citations

• Securing Android

  Sufatrio, Darell J. J. Tan, Tong-Wei Chua · 2015 · ACM Computing Surveys · 94 citations

• Moving Android

  Morana Alač · 2009 · Social Studies of Science · 58 citations

• Recovering Android Bad Smells from Android Applications

  Ghulam Rasool, Azhar Ali · 2020 · Arabian Journal for Science and Engineering · 18 citations

• Android Security Internals

  · 2015 · Network Security · 14 citations

• Cybersecurity for Android Applications: Permissions in Android 5 and 6

  Scott R. Moore, Huangyi Ge, Ninghui Li · 2018 · International Journal of Human–Computer Interaction · 10 citations

• Android Botnets

  Ahmad Karim, Victor Chang, Ahmad Firdaus · 2020 · Journal of Organizational and End User Computing · 9 citations

• Refactoring Android Source Code Smells From Android Applications

  Muhammad Fawad, Ghulam Rasool, Muhammad Bilal Riaz · 2025 · IEEE Access · 7 citations

🆕 Influential since 2022

• EfficientNet convolutional neural networks-based Android malware detection

  Pooja Yadav, Neeraj Menon, Vinayakumar Ravi · 2022 · Computers & Security · 154 citations

• MAPAS: a practical deep learning-based android malware detection system

  Jinsung Kim, Younghoon Ban, Eunbyeol Ko · 2022 · International Journal of Information Security · 110 citations

• Malware Analysis in IoT & Android Systems with Defensive Mechanism

  Chandra Shekhar Yadav, Jagendra Singh, Aruna Yadav · 2022 · Electronics · 101 citations

• An in-depth review of machine learning based Android malware detection

  Ali Muzaffar, Hani Ragab Hassen, Michael A. Lones · 2022 · Computers & Security · 100 citations

• Android malware detection and identification frameworks by leveraging the machine and deep learning techniques: A comprehensive review

  Santosh K. Smmarwar, Govind P. Gupta, Sanjay Kumar · 2024 · Telematics and Informatics Reports · 95 citations

📚 Books worth reading

• Fugitive TelemetryMartha Wells · 2021

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics

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