Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Fully Homomorphic Encryption in Real World Applications
Details
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.
Reviews in detail the latest research into fully homomorphic encryption (FHE) for cloud security Offers a range of solutions to improve the performance of real-world algorithms while working on FHE data Proposes the basic design for an encrypted processor architecture to support FHE operations
Autorentext
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 (ASTAR), 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 ASTAR, 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.
Inhalt
Introduction.- Mathematical Background.- Searching and Sorting on Encrypted Data.- Translating Algorithms to Handle Fully Homomorphic Encrypted Data.- Secure Database Handling.- Encrypted Processor Design.- Conclusion.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09789811363924
- Genre Elektrotechnik
- Auflage 1st edition 2019
- Sprache Englisch
- Lesemotiv Verstehen
- Anzahl Seiten 152
- Größe H241mm x B160mm x T14mm
- Jahr 2019
- EAN 9789811363924
- Format Fester Einband
- ISBN 9811363927
- Veröffentlichung 08.04.2019
- Titel Fully Homomorphic Encryption in Real World Applications
- Autor Khin Mi Mi Aung , Ayantika Chatterjee
- Untertitel Computer Architecture and Design Methodologies
- Gewicht 401g
- Herausgeber Springer Nature Singapore