Base Papers for AI Powered Phishing Link Identifier for Social Media DMs | IJCT Volume 12 – Issue 6 | IJCT-V12I6P71

The purpose of this paper is to provide a comprehensive review of the way in which artificial intelligence can improve the capabilities of detecting and preventing phishing, as well as traditional approaches to phishing and why they fail to keep up with the changes in the ways people are using technology, tools, or other types of attacks to target individuals using phishing. Authors discuss how AI-based solutions can leverage machine learning, deep learning, Natural Language Processing (NLP), and ensemble-based learning models to improve the ability to detect even the smallest of phishing patterns. In the conclusion to this study, the authors stress that the adaptability, automation, and scalability of AI systems create a strong defence against the ever-evolving threats associated with phishing.