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H. Perl, Michael Brenner, Matthew Smith (2011)
Poster: an implementation of the fully homomorphic smart-vercauteren crypto-system
Ayantika Chatterjee, I. Sengupta (2018)
Translating Algorithms to Handle Fully Homomorphic Encrypted Data on the CloudIEEE Transactions on Cloud Computing, 6
Sven Bugiel, S. Nürnberger, A. Sadeghi, T. Schneider (2011)
Twin Clouds: Secure Cloud Computing with Low Latency - (Full Version)
S. Rass, Daniel Slamanig (2013)
Cryptography for Security and Privacy in Cloud Computing
A. Sadeghi, T. Schneider, M. Winandy (2010)
Token-Based Cloud Computing
D. Knuth (1997)
The Art of Computer Programming, Volume I: Fundamental Algorithms, 2nd Edition
[An algorithm is defined as a self-contained step-by-step set of operations to be performed to solve a particular problem. The concept of simplicity and elegance related to any algorithm informally appears in Knuth’s saying “\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ldots $$\end{document}we want good algorithms in some loosely defined aesthetic sense. One criterionis the length of time taken to perform the algorithm... Other criteria are adaptability of the algorithm to computers...” In this chapter, we discuss how to develop suitable synthesis techniques and methodologies to handle algorithms which operate on encrypted data and to be executed on underlying unencrypted processor.]
Published: Mar 30, 2019
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