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Intrusion Detection in 5G Cellular Network Using Machine Learning

Ishtiaque Mahmood1, Tahir Alyas2, Sagheer Abbas3, Tariq Shahzad4, Qaiser Abbas5,6, Khmaies Ouahada7,*

1 Knowledge Unit of Systems and Technology, UMT Sialkot Campus, Sialkot, 51040, Pakistan
2 Department of Computer Science, Lahore Garrison University, Lahore, 54000, Pakistan
3 Faculty of Computer Science, National College of Business Administration and Economics, Lahore, 54660, Pakistan
4 Department of Electrical and Computer Engineering, COMSATS University Islamabad, Sahiwal Campus, Sahiwal 57000, Pakistan
5 Faculty of Computer and Information Systems Islamic University of Madinah, Madinah, 42351, Saudi Arabia
6 Department of Computer Science & IT, University of Sargodha, Sargodha, 40100, Pakistan
7 Department of Electrical and Electronic Engineering Science, University of Johannesburg, P.O Box 524, Auckland Park, Johannesburg, 2006, South Africa

* Corresponding Author: Khmaies Ouahada. Email: email


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