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AI-Powered Phishing Detection System
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Author(s): Mehaboob Mujawar (Mangalayatan University, India), Aasheesh Raizada (Mangalayatan University, India)and Abdullah Gubbi (Bearys Institute of Technology, Mangalore, India)
Copyright: 2026
Pages: 24
Source title:
Safe Data-Driven Control for Cyber-Physical Systems
Source Author(s)/Editor(s): Adnène Arbi (National Institute of Applied Sciences and Technology, University of Carthage, Tunisia & Laboratory of Mathematical Engineering, Tunisia Polytechnic School, University of Carthage, Tunisia)
DOI: 10.4018/979-8-3373-1832-5.ch001
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Abstract
This research presents an AI-driven system to combat phishing attacks using machine learning and natural language processing. Key components include data collection, feature extraction, model training, and real-time detection. The system offers high accuracy, real-time protection, customizability, enhanced security, reduced financial and data breach risks, and improved efficiency through automation. This scalable, adaptive solution provides robust protection against phishing threats, improving security and productivity while optimizing resource allocation. The system's automation and adaptability make it valuable in addressing this persistent cybersecurity challenge
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