Actively Secure Private Function Evaluation
- Payman Mohassel,
- Saeed Sadeghian,
- Nigel P. Smart
- … show all 3 hide
Abstract
We propose the first general framework for designing actively secure private function evaluation (PFE), not based on universal circuits. Our framework is naturally divided into pre-processing and online stages and can be instantiated using any generic actively secure multiparty computation (MPC) protocol.
Our framework helps address the main open questions about efficiency of actively secure PFE. On the theoretical side, our framework yields the first actively secure PFE with linear complexity in the circuit size. On the practical side, we obtain the first actively secure PFE for arithmetic circuits with O(g ·logg) complexity where g is the circuit size. The best previous construction (of practical interest) is based on an arithmetic universal circuit and has complexity O(g 5).
We also introduce the first linear Zero-Knowledge proof of correctness of “extended permutation” of ciphertexts (a generalization of ZK proof of correct shuffles) which maybe of independent interest.
- Title
- Actively Secure Private Function Evaluation
- Book Title
- Advances in Cryptology – ASIACRYPT 2014
- Book Subtitle
- 20th International Conference on the Theory and Application of Cryptology and Information Security, Kaoshiung, Taiwan, R.O.C., December 7-11, 2014, Proceedings, Part II
- Pages
- pp 486-505
- Copyright
- 2014
- DOI
- 10.1007/978-3-662-45608-8_26
- Print ISBN
- 978-3-662-45607-1
- Online ISBN
- 978-3-662-45608-8
- Series Title
- Lecture Notes in Computer Science
- Series Volume
- 8874
- Series ISSN
- 0302-9743
- Publisher
- Springer Berlin Heidelberg
- Copyright Holder
- International Association for Cryptologic Research
- Additional Links
- Topics
- Keywords
-
- Secure Multi-Party Computation
- Private Function Evaluation
- Malicious Adversary
- Zero-Knowledge Proof of Shuffle
- Industry Sectors
- eBook Packages
- Editors
-
-
Palash Sarkar
(15)
-
Tetsu Iwata
(16)
-
Palash Sarkar
- Editor Affiliations
-
- 15. Applied Statistics Unit, Indian Statistical Institute
- 16. Nagoya University
- Authors
-
-
Payman Mohassel
(17)
(18)
-
Saeed Sadeghian
(17)
-
Nigel P. Smart
(19)
-
Payman Mohassel
- Author Affiliations
-
- 17. Dept. Computer Science, University of Calgary, Canada
- 18. Yahoo Labs, Canada
- 19. Dept. Computer Science, University of Bristol, UK
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