Machine Learning Techniques for Permission-based Malware Detection in Android Applications-Reference-Cited by-同舟云学术

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Machine Learning Techniques for Permission-based Malware Detection in Android Applications

Published:2023-05-24 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Information Technology Trends (ITT)
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Author:

Khan Inam Ullah¹,Ali Khan Zahoor²,Ahmad Mir¹,Khan Ali Haider³,Muahmmad Fida⁴,Imran Azhar⁵,Ahmed Sheeraz⁶,Hamid Muhammad Khalid⁶

Affiliation:

1. University of Lakki,Computer Science & IT,Marwat,Pakistan

2. Higher Colleges of Technology,CIS,United Arab Emirates

3. Lahore Garrison University,Faculty of Computer Science,Lahore,Pakistan,54000

4. University of Science & Technology,Department of Computer Science,Bannu,Pakistan

5. Air University,Department of Creative Technologies,Islamabad,Pakistan

6. Iqra National University,Department of Computer Science,Peshawar,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10184219/10184227/10184260.pdf?arnumber=10184260

Reference18 articles.

1. Mobile Security: A Literature Review

2. Research and Implementation of Mobile Application Security Detection Combining Static and Dynamic;ziqiang;IEEE 2018 10th International Conference on Measuring technology and Mechatronics Automation,0

3. K-NEAREST NEIGHBOUR CLASSIFIER USAGE FOR PERMISSION BASED MALWARE DETECTION IN ANDROID

4. Permission-Based Malware Detection System for Android Using Machine Learning Techniques

5. An Intelligent Malware Detection and Classification System Using Apps-to-Images Transformations and Convolutional Neural Networks

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