Big Data (eBook, PDF)

Storage, Sharing, and Security
Redaktion: Hu, Fei

• Format: PDF

Produktbeschreibung

Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details-making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S desi

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 463
• Erscheinungstermin: 27. April 2016
• Englisch
• ISBN-13: 9781498734875
• Artikelnr.: 45434112

Autorenporträt

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.