Data Security Systems Strategy by Vijaya Kumar (3 results)

- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
US$ 77.00
Free ShippingShips within U.S.A.Quantity: Over 20 available
Condition: New.

- Softcover
- Print on Demand
Seller: preigu, Osnabrück, Germanypreigu
Contact seller5-star sellerCondition: New
US$ 61.73
US$ 79.83 shippingShips from Germany to U.S.A.Quantity: 5 available
Taschenbuch. Condition: Neu. Data Security in AI Systems | Strategy for Data Protection and Privacy | Thokala Vijaya Kumar | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9783330024618 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservic…e[at]vdm-vsg[dot]de | Anbieter: preigu Print on Demand.

- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
US$ 72.39
US$ 69.31 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores the vital intersection of AI and data security, stressing the need to safeguard sensitive information in intelligent systems. Part 1 introduces AI fundamentals and highlights why data security is critical as AI increas…ingly relies on large-scale data processing, making it vulnerable to threats. Part 2 outlines major risks like data poisoning, adversarial attacks, and model theft, along with protection methods such as encryption and differential privacy. Part 3 presents a case study on Google, examining how it manages data security and addresses real incidents. Part 4 explores future challenges, including quantum computing, evolving regulations, and the push for explainable AI. Part 5 concludes with practical recommendations to enhance AI security. Bridging technical detail and real-world examples, the book is a valuable resource for researchers, developers, and policymakers seeking to strengthen AI systems in a data-driven world.