Cloud Database Security


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Cloud Database Security: Integrating Deep Learning and Machine Learning for Threat Detection and Prevention


Cloud Database Security: Integrating Deep Learning and Machine Learning for Threat Detection and Prevention

Author: Rajendra Prasad Sola, Nihar Malali, Praveen Madugula

language: en

Publisher: Notion Press

Release Date: 2025-02-22


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The topic of this book is the evolving landscape of cloud database security and its role in the threat of cyberattacks by artificial intelligence (AI). It begins with the introduction of basic cloud computing concepts, points out the significant security problems, and describes data protection as important. The authors delve into deep learning (DL) and machine learning (ML) techniques for realtime threat detection, anomaly identification, and intrusion prevention. The book covers the use of AI for security mechanisms, predictive analytics, and automated threat intelligence sharing. It also discusses new developments, such as federated learning, blockchain security, and homomorphic encryption. In addition, the text deals with the risks of quantum computing, regulation compliance, and rising threats. The book is a standalone cybersecurity reference for students, professionals, and researchers based on acknowledged theoretical ideas and practical applications. Cloud security should include AI and ML to improve integrity and resilience against smart threats.

Big Data Security


Big Data Security

Author: Shibakali Gupta

language: en

Publisher: Walter de Gruyter GmbH & Co KG

Release Date: 2019-10-08


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After a short description of the key concepts of big data the book explores on the secrecy and security threats posed especially by cloud based data storage. It delivers conceptual frameworks and models along with case studies of recent technology.

Database Security


Database Security

Author: Silvana Castano

language: en

Publisher: Addison-Wesley Longman

Release Date: 1995


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This book provides an authoritative account of security issues in database systems, and shows how current commercial or future systems may be designed to ensure both integrity and confidentiality. It gives a full account of alternative security models and protection measures. This invaluable reference can be used as a text for advanced courses on DB security.