AdDroid: Rule-Based Machine Learning Framework for Android Malware Analysis-Reference-Cited by-同舟云学术

AdDroid: Rule-Based Machine Learning Framework for Android Malware Analysis

Published:2019-08-19 Issue:1 Volume:25 Page:180-192
ISSN:1383-469X
Container-title:Mobile Networks and Applications
language:en
Short-container-title:Mobile Netw Appl

Author:

Mehtab Anam,Shahid Waleed Bin,Yaqoob Tahreem,Amjad Muhammad Faisal,Abbas Haider^ORCID,Afzal Hammad,Saqib Malik Najmus

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s11036-019-01248-0.pdf

Reference32 articles.

1. Apple Vs Android, A comparative study 2017 (2018) Available: https://android.jlelse.eu/apple-vs-android-a-comparative-study-2017-c5799a0a1683

2. Gandhewar N, Sheikh R (2010) Google Android: An emerging software platform for mobile devices. Int J Comput Sci Eng 1:12–17

3. Number of available applications in the Google Play Store from December 2009 to September 2018 (2018) Available: https://www.statista.com/statistics/266210/number-of-available-applications-in-the-google-play-store/

4. Felt AP, Finifter M, Chin E, Hanna S, Wagner D (2011) A survey of mobile malware in the wild. In: Proceedings of the 1st ACM workshop on Security and privacy in smartphones and mobile devices, pp 3–14

5. Felt AP, Chin E, Hanna S, Song D, Wagner D (2011) Android permissions demystified. In: Proceedings of the 18th ACM conference on Computer and communications security, pp 627–638

Cited by 36 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detection and analysis of android malwares using hybrid dual Path bi-LSTM Kepler dynamic graph convolutional network;International Journal of Machine Learning and Cybernetics;2024-08-19

2. Android Malware Detection using HexCode Features;2024-06-26

3. African Vulture Optimization-Based Decision Tree (AVO-DT): An Innovative Method for Malware Identification and Evaluation through the Application of Meta-Heuristic Optimization Algorithm;Cybernetics and Information Technologies;2024-06-01

4. Machine Learning Based Approaches For Android Malware Detection using Hybrid Feature Analysis;2024 6th International Conference on Computing and Informatics (ICCI);2024-03-06

5. Machine Learning Based Malware Identification and Classification in PDF: A Review Paper;Communications in Computer and Information Science;2024