Year: 2025
Type: conference-paper
Abstract: Phishing attacks via messaging apps like WhatsApp have surged in recent years, with fraudsters exploiting digital communication for scams such as impersonation, employment fraud, and fake reward notifications.These schemes lead to identity theft, financial losses, and declining trust in digital platforms.Reports indicate a rise in sophisticated WhatsApp scams designed to bypass security measures.Given the widespread digital connectivity, many users remain unaware of phishing indicators, underscoring the need for AI-driven real-time threat detection.This paper presents an AI-powered WhatsApp phishing detection chatbot leveraging machine learning to scan messages, detect phishing attempts, and provide instant alerts.Unlike traditional solutions, this chatbot seamlessly integrates with WhatsApp, offering user-friendly protection and enhancing cybersecurity awareness.
DOI: 10.18260/1-2--54698
Authors: Fatma Outay, Haroon M
Institutions: Zayed University, Marshall University
Language: English
Topic: Spam and Phishing Detection
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409944820