• K.Uma
• G.V.L.N.Keerthi
• Korimilli Gayathri
• Deredla Poorna Chandra Durgareddy
• Burugupalli Dileep

Phishing is a deceptive cyberattack technique that manipulates human trust to obtain confidential information such as login credentials, financial data, or personal details. It typically involves fraudulent digital communication through emails, websites, or voice calls that appear legitimate. With the rapid advancement of Generative Artificial Intelligence (AI), phishing attacks have evolved into more sophisticated forms such as Voice Phishing (Vishing), where AI-based voice cloning and text-to-speech technologies are used to impersonate trusted individuals with high realism. This emerging threat has made traditional detection approaches increasingly ineffective. Conventional Machine Learning (ML) and Deep Learning (DL) models struggle to accurately identify new and unseen attack patterns due to limited and biased training datasets. They also face performance issues in real-time scenarios, especially when detecting AI-generated voices or synthetic speech. The lack of diverse datasets and the growing use of Large Language Models (LLMs) by attackers to generate convincing phishing content further complicate the detection process. Therefore, there is an urgent need to develop advanced, adaptive phishing detection systems that can handle multimodal data — combining both linguistic and acoustic analysis. Integrating pre-trained transformer models and domain-specific LLMs can enhance system robustness, improve real-time detection, and provide explainable results. Such intelligent, AI-driven detection frameworks are essential to safeguard individuals and organizations from the next generation of AI-powered phishing threats

Voice phishing, secure communication, real-time detection, speech analysis, information security, VoIP.

"A survey on secure voice communication through real time phishing detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 3, page no.h426-h439, March-2026, Available :http://www.jetir.org/papers/JETIR2603755.pdf

"A survey on secure voice communication through real time phishing detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 3, page no. pph426-h439, March-2026, Available at : http://www.jetir.org/papers/JETIR2603755.pdf