Android Malware A Oversight on Malware Detection Using Machine Learning-Reference-Cited by-同舟云学术

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Android Malware A Oversight on Malware Detection Using Machine Learning

Published:2022-01-25 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computer Communication and Informatics (ICCCI)
language:
Short-container-title:

Author:

Kanchhal Yash¹,Murugaanandam S¹

Affiliation:

1. SRM Institute of Science and Technology,Dept. of Networking and Communication,Chennai,India,603203

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9740652/9740653/09741025.pdf?arnumber=9741025

Reference21 articles.

1. An overview of Android operating system and its security features;sing;Int Journal of Engineering Research and Applications,2014

2. Analysis of Prediction and Detection of Spyware for User Applications;mahesh;AJCSIT,2016

3. An Android Behavior-Based Malware Detection Method using Machine Learning

4. Behavioural Analysis of Android Malware and Detection;vaishanav;International Journal of Computer Trends and Technology (IJCTT),2017

5. Malware Detection Techniques For Mobile Devices;amro;International Journal of Mobile Network Communications & Telematics (IJMNCT),2017

Cited by 2 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. Protecting Android Devices From Malware Attacks: A State-of-the-Art Report of Concepts, Modern Learning Models and Challenges;IEEE Access;2023

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

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