发帖
雷达卡
Fei Hu
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.
Table of Contents
SECTION I: 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
SECTION II: 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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Big Data_Storage, Sharing, and Security.pdf
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