A. Stage of the Art

1. Framework with input APKs

https://github.com/annamalai-nr/csbd/tree/master

Maldozer Project:

• Input: APK file
• Code:
  • Github
• Papers:
  • Android Malware Detection using Deep Learning on API Method Sequences
  • MalDozer: Automatic framework for android malware detection using deep learning
  • MalDy: Portable, data-driven malware detection using natural language processing and machine learning techniques on behavioral analysis reports https://github.com/Zakeya/AndroVul

B. Dataset

1. Drebin

• Information
• APKs: https://www.sec.cs.tu-bs.de/~danarp/drebin/download.html
• CSVs:
  • https://github.com/IUC4801/DynamicFusion/blob/main/data/drebin-215-dataset-5560malware-9476-benign.csv
• Code:
  • https://github.com/annamalai-nr/drebin.git
  • https://github.com/alisakhatipova/Drebin.git
  • https://github.com/sayomakinwa/drebin-malware-analysis.git
  • https://github.com/sontung/drebin-malwares.git
• Cite:
  • Drebin: Efficient and Explainable Detection of Android Malware in Your Pocket
  • DroidFusion: A Novel Multilevel Classifier Fusion Approach for Android Malware Detection

2. Malgenome

• Information
• APKs: http://www.malgenomeproject.org/policy.html
• CSVs:
  • https://github.com/IUC4801/DynamicFusion/blob/main/data/malgenome215dataset1260malware2539benign.csv
• Cite:
  • Dissecting Android Malware: Characterization and Evolution
  • DroidFusion: A Novel Multilevel Classifier Fusion Approach for Android Malware Detection

3. KronoDroid Dataset

• CSVs:
  • emulator: https://github.com/aleguma/kronodroid/tree/main/emulator
  • real_device: https://github.com/aleguma/kronodroid/tree/main/real_device
• Cite:
  • KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization

4. AndroVul Dataset

• CSVs:
  • https://github.com/Zakeya/AndroVul/blob/master/AndroVul/AndroVul.csv
  • https://github.com/Zakeya/AndroVul/blob/master/AndroVul/AndroVulMalware.csv
• Cite:
  • AndroVul: A repository for Android security vulnerabilities
  • Probing AndroVul dataset for studies on Android malware classification

5. ADROIT Dataset

• Hash list: Yes
• CSVs:
  • https://github.com/alexMyG/ADROIT/blob/master/dataset.csv
• Cite:
  • ADROIT: Android malware detection using meta-information

    6. TraceDroid Dataset

• Size: Begin: 15,451 Malware: 15,183

• Cite: TraceDroid: Eight-Year Behavioral Profiles of Android Apps

  https://zenodo.org/records/3665877#.YNmvvegzYuU

  7. AndroCT Dataset

• Size: Begin: 18,277 Malware: 17,697
• Cite: https://zenodo.org/records/5010831#.YNnJA-gzYuU

8. The MalRadar Dataset

MalRadar: Demystifying Android Malware in the New Era

• https://zenodo.org/records/6451769

Android Malware Samples

• https://github.com/ashishb/android-malware/tree/master

  Contagio Mobile Dataset

• http://contagiominidump.blogspot.com/

  AndroZoo Dataset

• https://androzoo.uni.lu/

Dataset label:

The AndroOBFS Dataset –> Hash list

https://github.com/IanWE/mamadroid https://github.com/DroidEvolver/DroidEvolver

https://github.com/ashishb/android-security-awesome

• Pairwise GUI Dataset Construction Between Android Phones and Tablets

https://github.com/huhanGitHub/papt/tree/main