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Privacy and security issues in big d...

Das, Pradip Kumar.

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Privacy and security issues in big data = an analytical view on business intelligence /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Privacy and security issues in big data/ edited by Pradip Kumar Das, Hrudaya Kumar Tripathy, Shafiz Affendi Mohd Yusof.
Reminder of title:	an analytical view on business intelligence /
other author:	Das, Pradip Kumar.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	xii, 211 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Security in Big Data: A Succinct Survey -- Big Data Driven Privacy and Security Issues and Challenges -- Big Data Process based Security and Privacy Issues and Measures -- Exploring and Presenting Security Measures in Big Data Paradigm -- Comparative Analysis of Anonymization Techniques -- Standarlization of Big Data and Polices -- Privacy Preserving Cryptographic Model for Big Data Analytics -- Application of Big Data Analytics in Healthcare Industry along with its Security Issues -- An Analytical Perspective of Machine Learning in Cyber Security -- Business Intelligence Influenced Customer Relationship Management in Telecommunication industry and its Security Challenges -- Data Protection and Data Privacy Act for Big Data Governance.
Contained By:	Springer Nature eBook
Subject:	Big data - Security measures. -
Online resource:	https://doi.org/10.1007/978-981-16-1007-3
ISBN:	9789811610073

Privacy and security issues in big data = an analytical view on business intelligence /
Privacy and security issues in big dataan analytical view on business intelligence /[electronic resource] :edited by Pradip Kumar Das, Hrudaya Kumar Tripathy, Shafiz Affendi Mohd Yusof. - Singapore :Springer Singapore :2021. - xii, 211 p. :ill. (some col.), digital ;24 cm. - Services and business process reengineering,2524-5503. - Services and business process reengineering..

Security in Big Data: A Succinct Survey -- Big Data Driven Privacy and Security Issues and Challenges -- Big Data Process based Security and Privacy Issues and Measures -- Exploring and Presenting Security Measures in Big Data Paradigm -- Comparative Analysis of Anonymization Techniques -- Standarlization of Big Data and Polices -- Privacy Preserving Cryptographic Model for Big Data Analytics -- Application of Big Data Analytics in Healthcare Industry along with its Security Issues -- An Analytical Perspective of Machine Learning in Cyber Security -- Business Intelligence Influenced Customer Relationship Management in Telecommunication industry and its Security Challenges -- Data Protection and Data Privacy Act for Big Data Governance.

This book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data. It focuses on the results obtained after applying a systematic mapping study and implementation of security in the big data for utilizing in business under the establishment of "Business Intelligence". The chapters start with the definition of big data, discussions why security is used in business infrastructure and how the security can be improved. In this book, some of the data security and data protection techniques are focused and it presents the challenges and suggestions to meet the requirements of computing, communication and storage capabilities for data mining and analytics applications with large aggregate data in business.

ISBN: 9789811610073

Standard No.: 10.1007/978-981-16-1007-3doiSubjects--Topical Terms:

3310623
Big data
--Security measures.

LC Class. No.: QA76.9.B45 / P758 2021

Dewey Class. No.: 005.7

Privacy and security issues in big data = an analytical view on business intelligence /
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300 $a xii, 211 p. : $b ill. (some col.), digital ; $c 24 cm.
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505 0 $a Security in Big Data: A Succinct Survey -- Big Data Driven Privacy and Security Issues and Challenges -- Big Data Process based Security and Privacy Issues and Measures -- Exploring and Presenting Security Measures in Big Data Paradigm -- Comparative Analysis of Anonymization Techniques -- Standarlization of Big Data and Polices -- Privacy Preserving Cryptographic Model for Big Data Analytics -- Application of Big Data Analytics in Healthcare Industry along with its Security Issues -- An Analytical Perspective of Machine Learning in Cyber Security -- Business Intelligence Influenced Customer Relationship Management in Telecommunication industry and its Security Challenges -- Data Protection and Data Privacy Act for Big Data Governance.
520 $a This book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data. It focuses on the results obtained after applying a systematic mapping study and implementation of security in the big data for utilizing in business under the establishment of "Business Intelligence". The chapters start with the definition of big data, discussions why security is used in business infrastructure and how the security can be improved. In this book, some of the data security and data protection techniques are focused and it presents the challenges and suggestions to meet the requirements of computing, communication and storage capabilities for data mining and analytics applications with large aggregate data in business.
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