eBook Privacy and Security Policies in Big Data, 1st Edition

  • Sharvari Tamane
  • Vijender Kumar Solanki
  • Nilanjan Dey
  • Published By:
  • ISBN-10: 1522524878
  • ISBN-13: 9781522524878
  • DDC: 005.8
  • 305 Pages | eBook
  • Original Copyright 2017 | Published/Released July 2017
  • This publication's content originally published in print form: 2017
  • Price:  Sign in for price



In recent years, technological advances have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently. This book is a pivotal reference source for the latest research on innovative concepts on the management of security and privacy analytics within big data. Featuring extensive coverage on relevant areas such as kinetic knowledge, cognitive analytics, and parallel computing, this publication is an ideal resource for professionals, researchers, academicians, advanced-level students, and technology developers in the field of big data.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Advances in Information Security, Privacy, and Ethics (AISPE) Book Series.
Titles in this Series.
Table of Contents.
Detailed Table of Contents.
Fundamentals of Big Data.
1: The Basics of Big Data and Security Concerns.
Big Data Tools and Technologies with Case Studies.
2: Affordances of Data Science in Agriculture, Manufacturing, and Education.
3: Evolution of Cloud in Big Data with Hadoop on Docker Platform.
Non-Relational Databases.
4: MonogDB: Data Management in NoSQL.
5: A Security-By-Distribution Approach to Manage Big Data in a Federation of Untrustworthy Clouds.
6: Selective Data Consistency Model in No-SQL Data Store.
Data Mining.
7: Educational Data Mining Review: Teaching Enhancement.
Big Data Privacy and Security.
8: Privacy Preserving Data Mining on Unstructured Data.
9: Differential Privacy Approach for Big Data Privacy in Healthcare.
Is IoT Driving a Big Data?.
10: Internet of Things in Real Life: Applications.
Big Data Analytics.
11: Development of Data Analytics in Shipping.
12: Big Data Predictive Analysis for Detection of Prostate Cancer on Cloud-Based Platform: Microsoft Azure.
Compilation of References.
About the Contributors.