On-Device Mobile Phone Security Exploits Machine Learning-Reference-Cited by-同舟云学术

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On-Device Mobile Phone Security Exploits Machine Learning

Published:2017-04 Issue:2 Volume:16 Page:92-96
ISSN:1536-1268
Container-title:IEEE Pervasive Computing
language:
Short-container-title:IEEE Pervasive Comput.

Author:

Islam Nayeem,Das Saumitra,Chen Yin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/7756/7891101/07891134.pdf?arnumber=7891134

Cited by 15 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. Advanced-Level Security in Network and Real-Time Applications Using Machine Learning Approaches;Research Anthology on Machine Learning Techniques, Methods, and Applications;2022-05-13

2. Recommendation of Online Learning Resources for Personalized Fragmented Learning Based on Mobile Devices;International Journal of Emerging Technologies in Learning (iJET);2022-02-18

3. Mobile Operating System (Android) Vulnerability Analysis Using Machine Learning;Proceedings of International Conference on Network Security and Blockchain Technology;2022

4. Behavior-Based Malware Detection System Approach For Mobile Security Using Machine Learning;2021 International Conference on Artificial Intelligence and Machine Vision (AIMV);2021-09-24

5. MDTA: A New Approach of Supervised Machine Learning for Android Malware Detection and Threat Attribution Using Behavioral Reports;Mobile Computing and Sustainable Informatics;2021-07-23

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