Behavior-Based Malware Detection System Approach For Mobile Security Using Machine Learning-Reference-Cited by-同舟云学术

Behavior-Based Malware Detection System Approach For Mobile Security Using Machine Learning

Published:2021-09-24 Issue: Volume: Page:
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Container-title:2021 International Conference on Artificial Intelligence and Machine Vision (AIMV)
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Author:

Vanjire Seema,Lakshmi M.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9670812/9670893/09671009.pdf?arnumber=9671009

Reference11 articles.

1. Android application behavioral analysis through intent monitoring

2. Malware Detection on Mobile Devices Using Distributed Machine Learning

3. FNN and Auto Encoder Deep Learning-Based Algorithm For Android Cyber Security;vanjire;International Journal of Recent Technology and Engineering (IJRTE),2020

4. MADAM: Effective and Efficient Behavior-based Android Malware Detection and Prevention

5. Nested Tunnel header compression Protocol in wireless network with .NET technology

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1. Analysis of User Behavior Patterns using Machine Learning Algorithms;2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET);2023-11-23

2. Malware Detection Using Random Forest;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

3. Detecting Spyware in Android Devices Using Random Forest;Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23);2023

4. Malware Analysis and Detection Using Machine Learning Algorithms;Symmetry;2022-11-03

5. Towards Data Science for Cybersecurity: Machine Learning Advances as Glowing Perspective;Lecture Notes in Networks and Systems;2022-09-01