A Hybrid Model for Botnet Detection using Machine Learning

Author:

Zaheer Anam1,Tahir Sidra1,Almufareh Maram Fahaad2,Hamid Bushra1

Affiliation:

1. University of Arid Agriculture,University Institute of Information Technology,Rawalpindi,Pakistan

2. Jouf University,College of Computer and Information Sciences,Department of Information Systems,Sakakah,Saudi Arabia

Publisher

IEEE

Cited by 5 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 hybrid malware identification framework for the Internet of Medical Things, driven by deep learning;SECURITY AND PRIVACY;2024-08-26

2. On Feature Selection Algorithms for Effective Botnet Detection;Journal of Network and Systems Management;2024-04

3. Enhancing Identification of IoT Anomalies in Smart Homes Using Secure Blockchain Technology;Advances in Logistics, Operations, and Management Science;2023-12-29

4. IoT Security: A Deep Learning-Based Approach for Intrusion Detection and Prevention;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

5. Botnet Detection Using Label Propagation and Batch K-means Clustering for Securing IoT Networks;2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC);2023-09-18

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