Fully Homomorphic Encryption in Real World Applications - Ayantika Chatterjee, Khin Mi Mi Aung

Fully Homomorphic Encryption in Real World Applications (eBook)

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2019 | 1st ed. 2019
VII, 141 Seiten
Springer Singapore (Verlag)
978-981-13-6393-1 (ISBN)
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This book explores the latest developments in fully homomorphic encryption (FHE), an effective means of performing arbitrary operations on encrypted data before storing it in the 'cloud'. The book begins by addressing perennial problems like sorting and searching through FHE data, followed by a detailed discussion of the basic components of any algorithm and adapting them to handle FHE data. In turn, the book focuses on algorithms in both non-recursive and recursive versions and discusses their realizations and challenges while operating in the FHE domain on existing unencrypted processors. It highlights potential complications and proposes solutions for encrypted database design with complex queries, including the basic design details of an encrypted processor architecture to support FHE operations in real-world applications.


Ayantika Chatterjee is currently 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 BTech degree from the WBUT, India, her MSc degree from the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) in Kharagpur, India, and her PhD from the School of Information Technology, IIT Kharagpur, India. Her research interests include cryptography and VLSI design.
 
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.

This book explores the latest developments in fully homomorphic encryption (FHE), an effective means of performing arbitrary operations on encrypted data before storing it in the 'cloud'. The book begins by addressing perennial problems like sorting and searching through FHE data, followed by a detailed discussion of the basic components of any algorithm and adapting them to handle FHE data. In turn, the book focuses on algorithms in both non-recursive and recursive versions and discusses their realizations and challenges while operating in the FHE domain on existing unencrypted processors. It highlights potential complications and proposes solutions for encrypted database design with complex queries, including the basic design details of an encrypted processor architecture to support FHE operations in real-world applications.

Ayantika Chatterjee is currently 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 BTech degree from the WBUT, India, her MSc degree from the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) in Kharagpur, India, and her PhD from the School of Information Technology, IIT Kharagpur, India. Her research interests include cryptography and VLSI design. 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.

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

Erscheint lt. Verlag 29.3.2019
Reihe/Serie Computer Architecture and Design Methodologies
Computer Architecture and Design Methodologies
Zusatzinfo VII, 141 p. 40 illus., 6 illus. in color.
Verlagsort Singapore
Sprache englisch
Themenwelt Informatik Netzwerke Sicherheit / Firewall
Informatik Theorie / Studium Kryptologie
Technik Elektrotechnik / Energietechnik
Schlagworte Cloud Security • Encrypted Algorithm • encrypted computing • Encrypted Database Design • Encrypted Processor Architecture • Encrypted Processor Design • FHE ultra reduced instruction set computer (FURISC) • Fully Homomorphic Encryption (FHE) • lattice theory • Secure Database Handling
ISBN-10 981-13-6393-5 / 9811363935
ISBN-13 978-981-13-6393-1 / 9789811363931
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