Security Enhancement by Identifying Attacks Using Machine Learning for 5G Network

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Hitesh Keserwani
Himanshu Rastogi
Ardhariksa Zukhruf Kurniullah
Sushil Kumar Janardan
Ramakrishnan Raman
Vinod Motiram Rathod
Ankur Gupta

Abstract

Need of security enhancement for 5G network has been increased in last decade. Data transmitted over network need to be secure from external attacks. Thus there is need to enhance the security during data transmission over 5G network. There remains different security system that focus on identification of attacks. In order to identify attack different machine learning mechanism are considered. But the issue with existing research work is limited security and performance issue. There remains need to enhance security of 5G network. To achieve this objective hybrid mechanism are introduced. Different treats such as Denial-of-Service, Denial-of-Detection, Unfair use or resources are classified using enhanced machine learning approach. Proposed work has make use of LSTM model to improve accuracy during decision making and classification of attack of 5G network. Research work is considering accuracy parameters such as Recall, precision and F-Score to assure the reliability of proposed model. Simulation results conclude that proposed model is providing better accuracy as compared to conventional model.

Article Details

How to Cite
Keserwani, H. ., Rastogi, H. ., Kurniullah, A. Z. ., Janardan, S. K. ., Raman, R. ., Rathod, V. M. ., & Gupta, A. . (2022). Security Enhancement by Identifying Attacks Using Machine Learning for 5G Network. International Journal of Communication Networks and Information Security (IJCNIS), 14(2), 124–141. https://doi.org/10.17762/ijcnis.v14i2.5494
Section
Research Articles
Author Biographies

Hitesh Keserwani, Assistant Professor, Amity Business School, Amity University, Lucknow, Uttar Pradesh, India

   

Himanshu Rastogi, Associate Professor, Amity Business School, Amity University, Lucknow, Uttar Pradesh, India

     

Ardhariksa Zukhruf Kurniullah, Faculty of Communications Science, Universitas Mercu Buana, Jakarta, Indonesia

   

Sushil Kumar Janardan, Assistant Professor, Department of Computer Science and Engineering, Rungta College of Engineering and Technology Bhilai, Rungta Educational Campus, Kohka-Kurud Road, Bhilai - 490024, Chhattisgarh, India

     

Ramakrishnan Raman, Professor and Director, Symbiosis Institute of Business Management, Pune & Symbiosis International (Deemed University), Pune, Maharashtra, India