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 ontemporary 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
Readership
This book is intended for students, researchers, academics and other professionals in cybersecurity, computer science, digital business, and e-commerce.
eBook - ePub
E-commerce Data Security and Privacy
Innovative AI and ML Strategies
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
E-commerce Data Security and Privacy
Innovative AI and ML Strategies
About this book
Information
Subtopic
Business GeneralIndex
BusinessTable of contents
- Table of Content
- Welcome
- Title
- BENTHAM SCIENCE PUBLISHERS LTD.
- Preface
- List of Contributors
- Revitalizing E-Commerce Data Security: Innovations and Regulatory Disputes in the Digital Age
- Securing the Digital Marketplace: Imperatives and Best Practices for E-commerce Retailers
- Synergizing BT and ML for Data Security and Privacy: Foundations, Innovations, and Applications
- The Role of Blockchain and Multi-Factor Authentication in Ensuring Data Security and Privacy in E-Commerce
- Ensuring Cybersecurity through Artificial Intelligence and Machine Learning
- Data Protection Trends in the E-commerce Industry: 2025 and Beyond
- Exploring the Role of Innovation and Cybersecurity in the Contemporary Digital Business Landscape
- Exploring the Role of Blockchain Technology in Enhancing Data Security and Privacy in E-Commerce Platforms
- Drivers of Augmented Reality in Banking: Youth Engagement Amidst Privacy and Security Challenges
- AI-Enabled Data Privacy Technologies in the Global E-Commerce Industry: Opportunities and Challenges
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Yes, you can access E-commerce Data Security and Privacy by Dhanabalan Thangam,Jin Yong Park,Chandan Chavadi in PDF and/or ePUB format, as well as other popular books in Business & Business General. We have over 1.5 million books available in our catalogue for you to explore.