Privacy and Security Issues in Big Data : An Analytical View on Business Intelligence
Privacy and Security Issues in Big Data : An Analytical View on Business Intelligence
edited by Pradip Kumar Das, Hrudaya Kumar Tripathy, Shafiz Affendi Mohd Yusof.
- First edition 2021
- 1 recurso en línea (XII, 211 páginas) 75 ilustraciones, 59 ilustraciones a color
- Services and Business Process Reengineering 2524-5511 Intelligent Technologies and Robotics (SpringerNature-42732) Intelligent Technologies and Robotics (R0) (SpringerNature-43728) .
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.
9789811610073
10.1007/978-981-16-1007-3 doi
Aprendizaje automático
QA76.9.B45 / 2021 EB
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.
9789811610073
10.1007/978-981-16-1007-3 doi
Aprendizaje automático
QA76.9.B45 / 2021 EB