Isbn: 9798898816803 - e-commerce data security and privacy: innovative ai and ml strategies (5 risultati)

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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 78,91
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Condizione: New.

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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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EUR 79,89
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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EUR 75,82
EUR 4,85 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 151,74
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Taschenbuch. Condizione: 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.…

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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 81,67
EUR 43,15 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…