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Testing android malware detectors against code obfuscation: a systematization of knowledge and unified methodology

  • Published:2016-08-20 Issue:3 Volume:13 Page:209-232
  • ISSN:2263-8733
  • Container-title:Journal of Computer Virology and Hacking Techniques
  • language:en
  • Short-container-title:J Comput Virol Hack Tech

Author:

Preda Mila Dalla,Maggi FedericoORCID

Funder

MIUR

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Hardware and Architecture,Software,Computer Science (miscellaneous)

Reference30 articles.

1. Antiy. http://www.antiy.net . Accessed 15 July 2016

2. Dalvik bytecode verifier notes. http://www.netmite.com/android/mydroid/dalvik/docs/verifier.html . Accessed 15 July 2016

3. Contagio mobile e mobile malware mini dump. http://contagiominidump.blogspot.com/ . Accessed 15 July 2016

4. Dexguard. http://www.saikoa.com/dexguard . Accessed 15 July 2016

5. Virustotal. https://www.virustotal.com . Accessed 15 July 2016

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1. Analyzing the Impact of Obfuscation on the Runtime Execution of Android Apps at Kernel Level;2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW);2024-07-08

2. Two-Level Software Obfuscation with Cooperative Co-Evolutionary Algorithms;2024 IEEE Congress on Evolutionary Computation (CEC);2024-06-30

3. An Overview of Techniques for Obfuscated Android Malware Detection;SN Computer Science;2024-03-16

4. Obfuscating Code Vulnerabilities Against Static Analysis in Android Apps;IFIP Advances in Information and Communication Technology;2024

5. A Multistage Malware Detection and Classification Model Using Visual Features;2023 4th International Conference on Communication, Computing and Industry 6.0 (C216);2023-12-15
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