Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
E-commerce Data Security and Privacy: Innovative AI and ML Strategies

E-commerce Data Security and Privacy: Innovative AI and ML Strategies

Park, Jin Yong
Chavadi, Chandan
Thangam, Dhanabalan

Paperback

Business GeneralGeneral Computers

ISBN13: 9798898816803
Publisher: Bentham Science Publishers
Published: Jul 10 2026
Pages: 184
Weight: 1.00
Height: 0.48 Width: 7.00 Depth: 10.00
Language: English
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.

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