Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)

A Systematic Survey on Security Mechanisms in WiFi-Based Voice Communication: Threats, Countermeasures, Performance Trade-offs

Authors
N. Kalaiselvi1, *, S. Abishek Palani2, M. Thilak Ragav3, G. Ubandiran4
1Assistant Professor, Department of Information Technology, Sri Manakula Vinayagar Engineering College, Puducherry, India
2Bachelor of Technology, Department of Information Technology, Sri Manakula Vinayagar Engineering College, Puducherry, India
3Bachelor of Technology, Department of Information Technology, Sri Manakula Vinayagar Engineering College, Puducherry, India
4Bachelor of Technology, Department of Information Technology, Sri Manakula Vinayagar Engineering College, Puducherry, India
*Corresponding author. Email: selvimtech29@gmail.com
Corresponding Author
N. Kalaiselvi
Available Online 31 March 2026.
DOI
10.2991/978-94-6239-616-6_102How to use a DOI?
Keywords
Wi-Fi Security; WPA3; WPA2; WEP; Voice over Wi-Fi (VoWiFi); Wi-Fi Calling; Wi-Fi 6; Wi-Fi 7
Abstract

Voice over Wi-Fi (VoWiFi) enables economical, high-quality voice communications through IP multimedia services over WLAN infrastructure. With the stringent real-time quality requirements, however, it is especially susceptible to breaches of security. This article provides an in-depth review of Wi-Fi protocol security across different generations—which span from WEP and WPA2 to the latest WPA3 and upcoming Wi-Fi 7/8—with an eye on VoWiFi. Synthetically, the study investigates results related to denial-of-service (DoS) attacks, unauthorized access points, onboarding procedure vulnerabilities, and MAC-layer attacks and evaluates trade-offs of performance like latency, throughput, and protocol overhead. The outcome proves that while WPA3 ensures increased confidentiality and integrity, VoWiFi is especially susceptible to availability and session disruption attacks. This research highlights the imperative need for artificial intelligence-powered intrusion detection systems, cross-layer security integration, and the application of Post-Quantum Cryptography (PQC) to ensure the long-term preservation of confidentiality, integrity, and availability in future generations of the voice over Wi-Fi network.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)
Series
Advances in Intelligent Systems Research
Publication Date
31 March 2026
ISBN
978-94-6239-616-6
ISSN
1951-6851
DOI
10.2991/978-94-6239-616-6_102How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - N. Kalaiselvi
AU  - S. Abishek Palani
AU  - M. Thilak Ragav
AU  - G. Ubandiran
PY  - 2026
DA  - 2026/03/31
TI  - A Systematic Survey on Security Mechanisms in WiFi-Based Voice Communication: Threats, Countermeasures, Performance Trade-offs
BT  - Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)
PB  - Atlantis Press
SP  - 1401
EP  - 1414
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-616-6_102
DO  - 10.2991/978-94-6239-616-6_102
ID  - Kalaiselvi2026
ER  -