Affiliation:
1. Amity University, Gurugram, India
Abstract
In the fast-paced realm of e-commerce, safeguarding sensitive data is crucial for customer trust and loyalty. Traditional security measures often fall short against evolving cyber threats. Thus, integrating AI and ML technologies enhances data security. AI-powered systems can identify potential breaches in real-time, while ML algorithms improve fraud detection and authentication. AI-driven predictive analytics identify vulnerabilities, and AI-powered chatbots monitor for suspicious activities. Adaptive security frameworks dynamically adjust to evolving threats, ensuring resilience. This strategic collaboration with AI and ML helps e-commerce enterprises secure customer data and maintain a safe digital environment.
Reference36 articles.
1. AI, T. B. (2022). ” Artificial Intelligence (AI) for Energizing the E-commerce.
2. Machine learning driven an e-commerce.;F.Behgounia;International Journal of Computer Science and Information Security,2020
3. The Impact of Artificial Intelligence on Firm Performance: An Application of the Resource-Based View to e-Commerce Firms
4. Applications of Fusion Techniques in E-Commerce Environments: A Literature Review
5. Hasan, F., Mondal, S. K., Kabir, M. R., Al Mamun, M. A., Rahman, N. S., & Hossen, M. S. (2022, June). E-commerce merchant fraud detection using machine learning approach. In 2022 7th International Conference on Communication and Electronics Systems (ICCES) (pp. 1123-1127). IEEE.