Transaction Security in E-Commerce: Big Data Analysis in Cloud Environments

Abstract

The swift expansion of electronic commerce has transformed commercial dealings, providing unmatched ease and availability to clients throughout the globe. But this growth has also raised serious questions about transaction security, especially when it comes to protecting private information like credit card numbers and personal information. In order to tackle these obstacles, this study conducts a thorough examination of e-commerce transaction security, with a particular emphasis on the application of big data analysis in cloud environments. Businesses can efficiently handle and analyze enormous volumes of transactional data in real-time, allowing for the detection and mitigation of possible security concerns, by utilizing the scalability and processing capacity of cloud computing. Big data analysis combined with cloud computing has many benefits, such as flexibility in handling different amounts of data, fast distributed processing for quick analysis, and the ability to use sophisticated analytics methods like machinelearning for anomaly detection and predictive modeling. In addition, the utilization of cloud- based computing and storage resources facilitates the establishment of strong data encryption andaccess control procedures, guaranteeing the security and integrity of vital transaction data. In order to identify important themes, patterns, and insights regarding the application of big data analysis in cloud environments for improving transaction security in e-commerce platforms, this study synthesizes pertinent literature through a systematic review of academic databases including PubMed, IEEE Xplore, and Google Scholar. A critical assessment of the combined results offers a sophisticated comprehension of the advantages and disadvantages of current research designs and theoretical structures. The synthesis of findings that results provides a thorough understanding of how big data analysis in cloud environments supports transaction security in e-commerce platforms and is useful for practitioners, legislators, and scholars in the field.