AI-Based Real-Time Phishing Detection System Using Voice and Image Recognition

DOI

10.2991/978-94-6239-616-6_85How to use a DOI?

Keywords

Phishing Detection; Cybersecurity; Machine Learning; Deep Learning; Voice Recognition; Image Recognition; Multimodal Detection; Real-Time Security

Abstract

Phishing is one of the most common cyber-attacks used to steal sensitive information by deceiving users through fake websites, emails, images, and voice-based communication. Traditional phishing detection systems mainly rely on single-mode analysis, such as URL or email checking, which makes them ineffective against modern multi-vector phishing attacks. This project presents an AI-Based Real-Time Phishing Detection System using Voice and Image Recognition, designed to provide unified, fast, and reliable protection against phishing threats. The proposed system analyzes URLs and emails using machine learning techniques, detects fake logos and website images using convolutional neural networks, and identifies voice-based phishing attempts through speech recognition. All detection modules operate together within a multimodal framework to improve detection accuracy and reduce false positives. A web-based interface with voice alerts provides real-time feedback to users, and the system supports both online and offline operation. Experimental results demonstrate high detection accuracy with an average response time of approximately 1.5 seconds, making the system effective and practical for real-world phishing prevention.

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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TY  - CONF
AU  - B. Rakesh
AU  - T. Harish
AU  - S. Ravinkumar
AU  - P. Shanmukh
PY  - 2026
DA  - 2026/03/31
TI  - AI-Based Real-Time Phishing Detection System Using Voice and Image Recognition
BT  - Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)
PB  - Atlantis Press
SP  - 1163
EP  - 1176
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-616-6_85
DO  - 10.2991/978-94-6239-616-6_85
ID  - Rakesh2026
ER  -