Improved Security Analysis for e-Commerce Transactions Using AI Based Decision Framework

This is the authors' abstract. We don't add key points for this paper.

E-commerce has become an imperative part of cutting-edge modern society, with hundreds of thousands of transactions occurring online daily. With the growing number of cyber assaults and safety breaches, it has emerged as crucial for e-trade structures to ensure the safety of their customers' non-public and financial data. Based on decision frameworks, this has improved superior safety analysis techniques, such as synthetic intelligence (AI). The proposed framework aims to enhance the security of e-trade transactions via AI strategies, including gadget learning and herbal language processing. Those strategies can effectively analyze vast amounts of data and discover capacity safety dangers, which include fraudulent activities and data breaches.