Strategies e commerce data security (18 resultados)

Condición: New.

Taschenbuch. Condición: Neu. Neuware - 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.…

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: New. In English.

Condición: New.

Condición: New. In English.

Condición: New.

Hardback. Condición: New.

Hardback. Condición: New.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the landscape of e-commerce, data security has become a concern as businesses navigate the complexities of sensitive customer information protection and cyber threat mitigation. Strategies involving cloud computing, blockchain technology, artificial intelligence, and machine learning offer solutions to strengthen data security and ensure transactional integrity. Implementing these technologies requires a balance of innovation and efficient security protocols. The development and adoption of security strategies is necessary to positively integrate cutting-edge technologies for effective security in online business. Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning addresses the need for advanced security measures, while examining the current state of e-commerce data security. It explores strategies such as cloud computing, blockchain, artificial intelligence, and machine learning. This book covers topics such as cybersecurity, cloud technology, and forensics, and is a useful resource for computer engineers, business owners, security professionals, government officials, academicians, scientists, and researchers.…

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the landscape of e-commerce, data security has become a concern as businesses navigate the complexities of sensitive customer information protection and cyber threat mitigation. Strategies involving cloud computing, blockchain technology, artificial intelligence, and machine learning offer solutions to strengthen data security and ensure transactional integrity. Implementing these technologies requires a balance of innovation and efficient security protocols. The development and adoption of security strategies is necessary to positively integrate cutting-edge technologies for effective security in online business. Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning addresses the need for advanced security measures, while examining the current state of e-commerce data security. It explores strategies such as cloud computing, blockchain, artificial intelligence, and machine learning. This book covers topics such as cybersecurity, cloud technology, and forensics, and is a useful resource for computer engineers, business owners, security professionals, government officials, academicians, scientists, and researchers.…