Protecting Privacy Through Homomorphic Encryption

This book summarizes recent inventions, provides guidelines and recommendations, and demonstrates many practical applications of homomorphic encryption. This collection of papers represents the combined wisdom of the community of leading experts on Homomorphic Encryption. In the past 3 years, a glob...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Lauter, Kristin, Dai, Wei, Laine, Kim
Format:	Buch
Sprache:	eng
Schlagworte:	Algebraic Geometry Cryptology Data encryption (Computer science) Data privacy Data protection-Law and legislation Mathematical Applications in Computer Science Mathematics Mathematics and Statistics Number Theory Privacy Security Science and Technology
Online-Zugang:	Volltext
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