Introduction
E-Commerce Data Security and Privacy: Innovative AI and ML Strategies examines the evolving landscape of cybersecurity, data protection, and privacy management in the rapidly expanding world of digital commerce.
The book explores the impact of emerging technologies such as artificial intelligence (AI), machine learning (ML), blockchain, and advanced cybersecurity frameworks in transforming secure e-commerce platforms against increasingly sophisticated cyber threats. By integrating concepts from digital business, information systems, cybersecurity, and e-commerce management, the volume offers both theoretical insights and practical strategies for building secure and trustworthy digital ecosystems.
The book is organized to address the key dimensions of e-commerce security and privacy. It examines AI-driven fraud detection, blockchain-enabled transaction security, predictive cybersecurity systems, multi-factor authentication, privacy-enhancing technologies, and secure digital payment mechanisms. Additional chapters discuss global data protection regulations, including GDPR and CCPA, cyber risk management, augmented reality security in financial services, and the future of AI-powered cybersecurity solutions. Real-world cyber breach case studies and industry examples provide practical perspectives on addressing contemporary security challenges.
Key Features
- - Explores AI- and ML-based approaches for fraud detection and cyber threat mitigation in e-commerce.
- - Discussions on blockchain technology, predictive cybersecurity, and privacy-enhancing technologies.
- - Coverage of authentication mechanisms, secure digital transactions, and emerging security frameworks.
- - Real-world case studies, industry applications, and best practices insights into future trends analysis of global data protection regulations, including GDPR and CCPA.
Target Readership :
This book is intended for students, researchers, academics and other professionals in cybersecurity, computer science, digital business, and e-commerce.