Securing E-Commerce Strategies With Cloud, Blockchain, AI, and ML
T. Maheshwaran, S. Muthumarilakshmi, N. A. S. Vinoth, Kaliyamoorthy Suganya, B. Uma Maheswari, P. Girija, Siva Subramanian R · Advances in web technologies and engineering book series · 2024
E-commerce and consumer trust need data security. This study examines e-commerce security strategies, technologies, and procedures to prevent malware, phishing, and data breaches. Cloud computing makes e-commerce more scalable and cost-effective, but security needs segmentation, access restrictions, and encryption. While blockchain provides transaction transparency and immutability, AI and ML increase fraud detection and real-time suspicious behaviour identification. Identity management, secure communication, and encryption are also studied. Risk assessment and incident response are key to proactive security. Data security ethics encompass openness, permission, and ownership. The chapter predicts AI, ML, blockchain, biometrics, and IoT advances for e-commerce security and provides detailed advice for stakeholders in a changing threat landscape.