國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Privacy and security issues in big d...

Das, Pradip Kumar.

Privacy and security issues in big dataan analytical view on business intelligence /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Privacy and security issues in big dataedited by Pradip Kumar Das, Hrudaya Kumar Tripathy, Shafiz Affendi Mohd Yusof.
其他題名:	an analytical view on business intelligence /
其他作者:	Das, Pradip Kumar.
出版者:	Singapore :Springer Singapore :2021.
面頁冊數:	xii, 211 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Big dataSecurity measures.
電子資源:	https://doi.org/10.1007/978-981-16-1007-3
ISBN:	9789811610073$q(electronic bk.)

Privacy and security issues in big dataan 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$q(electronic bk.)

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

807728
Big data
--Security measures.

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

Dewey Class. No.: 005.7

Privacy and security issues in big dataan analytical view on business intelligence /
LDR:02738nmm a2200349 a 4500 001 597911
003 DE-He213
005 20210729112923.0
006 m d
007 cr nn 008maaau
008 211019s2021 si s 0 eng d
020 $a 9789811610073$q(electronic bk.)
020 $a 9789811610066$q(paper)
024 7 $a 10.1007/978-981-16-1007-3 $2 doi
035 $a 978-981-16-1007-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.B45 $b P758 2021
072 7 $a UN $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UN $2 thema
072 7 $a TB $2 thema
082 0 4 $a 005.7 $2 23
090 $a QA76.9.B45 $b P961 2021
245 0 0 $a Privacy and security issues in big data $h [electronic resource] : $b an analytical view on business intelligence / $c edited by Pradip Kumar Das, Hrudaya Kumar Tripathy, Shafiz Affendi Mohd Yusof.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xii, 211 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Services and business process reengineering, $x 2524-5503
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.
650 0 $a Big data $x Security measures. $3 807728
650 1 4 $a Data Engineering. $3 839346
650 2 4 $a Big Data. $3 760530
650 2 4 $a Security. $3 760527
650 2 4 $a Machine Learning. $3 833608
650 2 4 $a Business Ethics. $3 731091
700 1 $a Das, Pradip Kumar. $3 891391
700 1 $a Tripathy, Hrudaya Kumar. $3 891392
700 1 $a Mohd Yusof, Shafiz Affendi. $3 891393
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Services and business process reengineering. $3 862744
856 4 0 $u https://doi.org/10.1007/978-981-16-1007-3
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)