Big Data
Storage, Sharing, and Security
Published on 27. April 2016
463 pages
978-1-4987-3487-5 (ISBN)
Description
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
More details
Language
English
Place of publication
Philadelphia, PA
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Illustrations
184 s/w Abbildungen, 20 s/w Tabellen
184 b/w images, 20 tables and approx. 85 equations
File size
8,25 MB
ISBN-13
978-1-4987-3487-5 (9781498734875)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Person
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.
Content
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.
