Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S designs-storage, sharing, and security-through detailed descriptions of Big Data concepts and implementations. Presenting the contributions of recognized Big Data experts from around the world, the book contains more than 450 pages of technical details on the most important implementation aspects regarding Big Data.
Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S designs-storage, sharing, and security-through detailed descriptions of Big Data concepts and implementations. Presenting the contributions of recognized Big Data experts from around the world, the book contains more than 450 pages of technical details on the most important implementation aspects regarding Big Data.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Fei Hu is a professor of electrical and computer engineering at the University of Alabama. Dr. Hu is the author of 10 books and over 200 articles published in top journals and conferences. His current research interests include big data security and 5G networks.
Inhaltsangabe
Big Data Management: Storage, Sharing, and Processing. Challenges and Approaches in Spatial Big Data Management. Storage and Database Management for Big Data. Performance Evaluation of Protocols for Big Data Transfers. Challenges in Crawling the Deep Web. Big Data and Information Distillation in Social Sensing. Big Data and the SP Theory of Intelligence. A Qualitatively Different Principle for the Organization of Big Data Processing. Big Data Security: Security, Privacy, and Accountability. Integration with Cloud Computing Security. Toward Reliable and Secure Data Access for Big Data Service. Cryptography for Big Data Security. Some Issues of Privacy in a World of Big Data and Data Mining. Privacy in Big Data. Privacy and Integrity of Outsourced Data Storage and Processing. Privacy and Accountability Concerns in the Age of Big Data. Secure Outsourcing of Data Analysis. Composite Big Data Modeling for Security Analytics. Exploring the Potential of Big Data for Malware Detection and Mitigation Techniques in Android Environment. Index.
Big Data Management: Storage, Sharing, and Processing. Challenges and Approaches in Spatial Big Data Management. Storage and Database Management for Big Data. Performance Evaluation of Protocols for Big Data Transfers. Challenges in Crawling the Deep Web. Big Data and Information Distillation in Social Sensing. Big Data and the SP Theory of Intelligence. A Qualitatively Different Principle for the Organization of Big Data Processing. Big Data Security: Security, Privacy, and Accountability. Integration with Cloud Computing Security. Toward Reliable and Secure Data Access for Big Data Service. Cryptography for Big Data Security. Some Issues of Privacy in a World of Big Data and Data Mining. Privacy in Big Data. Privacy and Integrity of Outsourced Data Storage and Processing. Privacy and Accountability Concerns in the Age of Big Data. Secure Outsourcing of Data Analysis. Composite Big Data Modeling for Security Analytics. Exploring the Potential of Big Data for Malware Detection and Mitigation Techniques in Android Environment. Index.
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