AI and Machine Learning Applications for Preserving Privacy and Data Leakage of E-Commerce Data
Jatin Arora, Gaganpreet Kaur, Monika Sethi, Saravjeet Singh · Advances in electronic commerce (AEC) book series/Advances in electronic commerce series · 2024
The e-commerce industry has been expanding at an exponential rate, evolving and adapting even during times of national lockdowns and worldwide pandemics. In a relatively short period of time, the Indian e-commerce ecosystem has grown to be vital to both the country's internet users and economy. The e-commerce industry has also seen a rise in cyberattacks. These attacks frequently result in data leaks that compromise data integrity, violate customers' rights and privacy, and foster mistrust between online retailers and their clientele. The roots of e-commerce security problems are highlighted in this paper, along with the potential benefits of several cutting-edge technologies including machine learning (ML) and artificial intelligence (AI) in reducing security risks. To increase e-commerce security, the study suggested a number of methods, including as data encryption, secure payment gateways, multi-factor authentication (MFA), regular software updates and patches, user privacy policies, and compliance.