Pradip Kumar Das (editor) - Privacy and Security Issues in Big Data: An Analytical View on Business Intelligence (Services and Business Process Reengineering)
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- Book:Privacy and Security Issues in Big Data: An Analytical View on Business Intelligence (Services and Business Process Reengineering)
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Privacy and Security Issues in Big Data: An Analytical View on Business Intelligence (Services and Business Process Reengineering): summary, description and annotation
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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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The book series aims at bringing together valuable and novel scientific contributions that address the critical issues of software services and business processes reengineering, providing innovative ideas, methodologies, technologies and platforms that have an impact in this diverse and fast-changing research community in academia and industry.
The areas to be covered are
Service Design
Deployment of Services on Cloud and Edge Computing Platform
Web Services
IoT Services
Requirements Engineering for Software Services
Privacy in Software Services
Business Process Management
Business Process Redesign
Software Design and Process Autonomy
Security as a Service
IoT Services and Privacy
Business Analytics and Autonomic Software Management
Service Reengineering
Business Applications and Service Planning
Policy Based Software Development
Software Analysis and Verification
Enterprise Architecture
The series serves as a qualified repository for collecting and promoting state-of-the art research trends in the broad area of software services and business processes reengineering in the context of enterprise scenarios. The series will include monographs, edited volumes and selected proceedings.
More information about this series at http://www.springer.com/series/16135
This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd.
The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
To the God,
To the Parents
& To the Families
Big data refers to collecting large volumes of data, giving us greater insight into our data which can be used to drive better business decisions and greater customer satisfaction. At this time, an increasing number of businesses are adopting big data environments. The time is ripe to make sure security concerns in these decisions and deployments, particularly since big data environments do not include comprehensive data protection capabilities, thereby represent low-hanging fruit for hackers. Securing big data is difficult not just because of the large amount of data it is handling, but also because of the continuous streaming of data, multiple types of data, and cloud-based data storage.
Primary purpose of this book is to provide insight about the security and privacy issues related to big data and its associated environmental applications. There are ten different chapters included in the study. Chapters , governance of big data using data protection and privacy acts is discussed and ideas of deployment of these acts are noted. Few latest data security technologies in digital era are also highlighted.
is currently Professor in the Department of Computer Science and Engineering in IIT Guwahati. He completed his B.Sc. degree with Statistics major from Arya Vidyapeeth College, Guwahati, in 1989, and M.Sc. in Mathematical Statistics from Delhi University, North campus, and he was awarded the Ph.D. degree in Computer Science in the area of Automatic Computer Speech Recognition using Vector Quantization and Hidden Markov Modelling.
Dr. Das is a CSIR NET qualified JRF/SRF Fellow and worked in CEERI, Delhi, for 5 years and as Scientist Fellow in HRD group of CSIR (Automation section) for about two years. He has published more than 100 papers in international journals and conferences in India and abroad. Dr. Das has executed 14 sponsored projects and consultancies from agencies like MHRD, Department of Electronics, DST, Ministry of Social Justice and UNICEF. He has filed for a patent on speaker characterization. He has held the position of Organizing Vice Chairman, IIT JEE 2009, Vice President IIT Club, etc. He has visited numerous countries to present his research work in conferences and meetings. His research interests include speech recognition, analysis and characterization, image processing, Internet of things, AI, smart devices, algorithms and software engineering.
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