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Fully Homomorphic Encryption in Real World Applications
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Table of Contents


Introduction.- Mathematical Background.- Searching and Sorting on Encrypted Data.- Translating Algorithms to Handle Fully Homomorphic Encrypted Data.- Secure Database Handling.- Encrypted Processor Design.- Conclusion.

About the Author

Ayantika Chatterjee is currently working as  Assistant Professor of Indian Institute of Technology, Kharagpur, India. Previously, she was working as a  Research Scientist for Data Center Technologies (DCT) at the Data Storage Institute (DSI), part of the Agency for Science, Technology and Research (A*STAR), Singapore. She received her PhD from Department of Computer Science and Engineering, Indian Institute of Technology (IIT) in Kharagpur, India, and published in different peer-reviewed conferences and journals. Her research interests include encrypted computation, security of cloud, cyber-physical systems and their respective VLSI implementations. Khin Mi Mi Aung received her PhD in Computer Engineering from Korea Aerospace University in 2006. She is currently working as a scientist with A*STAR, Data Storage Institute, Singapore. Her research interests include data and information security, data centers, and network storage technologies.She has published on data security in numerous international journals and conference proceedings.

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