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Big data : storage, sharing, and security

Author: Fei Hu
Publisher: Boca Raton, FL : CRC Press, [2016] ©2016
Series: Auerbach Book
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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 designs—storage, sharing, and security—through detailed descriptions of Big Data  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Big data : storage, sharing, and security.
Boca Raton, Florida ; London, [England] ; New York, [New York] : CRC Press, c2016
xv, 430 pages
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Fei Hu
ISBN: 9781498734875 1498734871
OCLC Number: 948286134
Description: 1 online resource (xv, 447 pages) : illustrations
Contents: Challenges and approaches in spatial big data management / Ablimit Aji and Fusheng Wang --
Storage and database management for big data / Vijay Gadepally, Jeremy Kepner, and Albert Reuther --
Performance evaluation of protocals for big data transfers / Se-young Yu, Nevil Brownlee, and Aniket Mahanti --
Challenges in crawling the deep web / Yan Wang and Jianguo Lu --
Big data and information distillation in social sensing / Dong Wang --
Big data and the SP theory of intelligence / J. Gerard Wolff --
A qualitatively different principle for the organization of big data processing / Duoduo Liao, Maryam Yammahi, Adi Alhudhaif, Faisal Alsaby, Usamah AlGemili, and Simon Y. Berkoich --
Integration with cloud computing security / Ibrahim A. Gomaa and Emad Abd-Elrahman --
Toward reliable and secure data access for big data service / Fouad Amine Guenane, Michele Nogueira, Donghyun Kim, and Ahmed Serhrouchni --
Cryptography for big data security / Ariel Hamlin, Nabil Schear, Emily Shen, Mayank Varia, Sophia Yakoubov, and Arkady Yerukhimovich --
Some issues of privacy in a world of big data and data mining / Daniel E. O'Leary --
Privacy in big data / Benjamin Habegger, Omar Hasan, Thomas Cerqueus, Lionel Brunie, Nadia Bennani, Harald Kosch, and Ernesto Damiani --
Privacy and integrity of outsourced data storage and processing / Dongxi Liu, Shenlu Wang, and John Zic --
Privacy and accountability concerns in the age of big data / Manik Lal Das --
Secure outsourcing of data analysis / Jun Sakuma --
Composite big data modeling for security analytics / Yuh-Jong Hu and Wen-Yu Liu --
Exploring the potential of big data for malware detection and mitigation techniques in the android environment / Rasheed Hussain, Donghyun Kim, Michele Nogueira, Junggab Son, and Heekuck Oh.
Series Title: Auerbach Book
Responsibility: edited by Fei Hu.

Abstract:

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 designs—storage, sharing, and security—through detailed descriptions of Big Data concepts and implementations. Written by well-recognized Big Data experts around the world, the book contains more than 450 pages of technical details on the most important implementation aspects regarding Big Data. After reading this book, you will understand how to: aggregate heterogeneous types of data from numerous sources, and then use efficient database management technology to store the Big Data; use cloud computing to share the Big Data among large groups of people; protect the privacy of Big Data during network sharing. With the goal of facilitating the scientific research and engineering design of Big Data systems, the book consists of two parts. Part I, Big Data Management, addresses the important topics of spatial management, data transfer, and data processing. Part II, Security and Privacy Issues, provides technical details on security, privacy, and accountability. Examining the state of the art of Big Data over clouds, the book presents a novel architecture for achieving reliability, availability, and security for services running on the clouds. It supplies technical descriptions of Big Data models, algorithms, and implementations, and considers the emerging developments in Big Data applications. Each chapter includes references for further study.

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