Unlocking Digital Gates: The Essence of Website Authentication Using Natural Language Processing

Abstract

Abstract: In the rapidly evolving landscape of cyberspace, ensuring the security and reliability of websites has become increasingly critical. Traditional methods of website validation often fall short in accurately identifying vulnerabilities and determining the active status of websites, leading to potentialrisks for users and organizations. To address these challenges, this paper presents a comprehensive approach to website vali- dation leveraging advanced Natural Language Processing (NLP) techniques. By harnessing the power of NLP, our methodology aims to significantly enhance web security and user experience byeffectively identifying vulnerabilities and determining the active status of websites. The proposed methodology comprises two key components: vulnerability detection and active status determination. In the vulnerability detection phase, our system utilizes NLP algorithmsto analyze website content and metadata, enabling the identifi- cation of potential security risks