Securing Voice Software Applications Using 5G, WSN and AI Driven Privacy Preservation Protocols
Hayder M A Ghanimi
Department of Information Technology, College of Science, University of Warith Al-Anbiyaa, Karbala, Iraq and Department of Computer Science, College of Computer Science and Information Technology, University of Kerbala, Karbala, Iraq.
The reality-based, dynamic, and context-aware user experiences provided by voice software applications have contributed to their common acceptance. But, problems with data privacy and computer performance are challenges. In order to process voice data reliably, the present research proposes a secure integrated model of 5G-Wireless Sensor Networks with Artificial Intelligence (5G + WSN + AI) to apply privacy preservation protocols. To train decentralized models, the model used Federated Learning (FL). To prevent unauthorized inference, it deployed Secure Multi-Party Computation (SMPC). In the end, to secure sensitive data, it applied adaptive encryption methods. Word Error Rate (WER), Feature Extraction Accuracy (FEA), End-to-End Delay (EED), Network Throughput (NT), Packet Loss Rate (PLR), and Encryption Overhead (EO) represent several of the key performance measures that the model is considered superior to conventional networks such as SVPS, BDPS, GACS, and cloud-based centralized models. Additionally, it proved that next-generation Voice Learning Systems (VLS) are reliable, leveraging AI + 5G setup and maintaining robustness against privacy breaches in real-world asymmetric scenarios.
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CRediT Author Statement
The authors confirm contribution to the paper as follows:
Conceptualization: Hayder M A Ghanimi, Swaroopa K, Amit Mishra, Anusha Papasani, Kolluru Suresh Babu and
Vivekanandhan Vijayarangan;
Methodology: Hayder M A Ghanimi, Swaroopa K and Amit Mishra;
Software: Anusha Papasani, Kolluru Suresh Babu and Vivekanandhan Vijayarangan;
Data Curation: Hayder M A Ghanimi, Swaroopa K and Amit Mishra;
Writing- Original Draft Preparation: Hayder M A Ghanimi, Swaroopa K, Amit Mishra, Anusha Papasani, Kolluru Suresh Babu and Vivekanandhan Vijayarangan;
Visualization: Anusha Papasani, Kolluru Suresh Babu and Vivekanandhan Vijayarangan;
Investigation: Hayder M A Ghanimi, Swaroopa K and Amit Mishra;
Supervision: Anusha Papasani, Kolluru Suresh Babu and Vivekanandhan Vijayarangan;
Validation: Hayder M A Ghanimi, Swaroopa K and Amit Mishra;
Writing- Reviewing and Editing: Hayder M A Ghanimi, Swaroopa K, Amit Mishra, Anusha Papasani, Kolluru Suresh Babu and Vivekanandhan Vijayarangan;
All authors reviewed the results and approved the final version of the manuscript.
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The authors would like to thank to the reviewers for nice comments on the manuscript.
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Corresponding author
Vivekanandhan Vijayarangan
Department of Computer Science and Engineering, Malla Reddy College of Engineering, Secunderabad, India.
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Cite this article
Hayder M A Ghanimi, Swaroopa K, Amit Mishra, Anusha Papasani, Kolluru Suresh Babu and Vivekanandhan Vijayarangan, “Securing Voice Software Applications Using 5G, WSN and AI Driven Privacy Preservation Protocols”, Journal of Machine and Computing, vol.5, no.3, pp. 1803-1822, July 2025, doi: 10.53759/7669/jmc202505142.
