Enhancing Network Security: A Study on Phishing Threats and Countermeasures

With its incredible gains in connectivity, efficiency, and convenience, the digital age has changed the world. It has, however, also created new hazards and vulnerabilities. For monetary gain, political benefit, or personal gratification, cybercriminals, hacktivists, state-sponsored actors, and other evil entities are continually trying to exploit these weaknesses. Phishing is a cyberattack strategy used by malicious individuals to trick people or organization into divulging sensitive information, such as login passwords, financial information, or personal data. A typical person would not be able to tell the difference between legitimate websites and phishing websites because they both appear quite similar. As phishing techniques evolve and become increasingly sophisticated, it is crucial for individuals and organizations alike to adopt proactive strategies for prevention and mitigation. This research paper presents multiple measures on how to mitigate phishing such as machine learning models, AI datasets that consist of pattern collection using AI, NLP-based techniques, and deep learning. This abstract serves as a foundation for a comprehensive examination of the phishing phenomenon and its implications in the ever-evolving landscape of online security.