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This book is a useful resource for researchers, software developers, educators and managers who want to understand both the high level concepts as well as the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in Secure Data Science.
About the author
Dr. Bhavani Thuraisingham is the Louis A. Beecherl, Jr. Distinguished Professor of Computer Science and the Executive Director of the Cyber Security Research and Education Institute (CSI) at the University of Texas at Dallas.Dr. Latifur R. Khan is currently an Associate Professor in computer science at at the University of Texas at Dallas.Dr. Murat Kantarcioglu is Professor of Computer Science and Director of the University of Texas at Dallas Data Security and Privacy Lab. His research focuses on creating technologies that can efficiently extract useful information from any data without sacrificing privacy or security. Recently, he has been working on security and privacy issues raised by data mining, privacy issues in social networks, security issues in databases, privacy issues in health care, applied cryptography for data security, risk and incentive issues in assured information sharing, use of data mining for fraud detection, botnet detection and homeland security.
Summary
This book is a useful resource for researchers, software developers, educators and managers who want to understand both the high level concepts as well as the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in Secure Data Science.
