Efficient privacy-preserving schemes for dot-product computation in mobile computing-Reference-Cited by-同舟云学术

Efficient privacy-preserving schemes for dot-product computation in mobile computing

Published:2016 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st ACM Workshop on Privacy-Aware Mobile Computing - PAMCO '16
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Author:

Hu Chunqiang¹,Li Ruinian¹,Li Wei¹,Yu Jiguo²,Tian Zhi³,Bie Rongfang⁴

Affiliation:

1. George Washington University, Washington DC

2. Qufu Normal University, Qufu, Shandong, China

3. George Mason University, Fairfax, VA

4. Beijing Normal University, Beijing, China

Publisher

ACM Press

Reference25 articles.

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2. D. Boneh, A. Sahai, and B. Waters. Functional encryption: Definitions and challenges. InTheory of Cryptography, pages 253--273. Springer, 2011.

3. D. Chaum. Blind signatures for untraceable payments. InAdvances in cryptology, pages 199--203. Springer, 1983.

4. G. P. Consortium et al. A map of human genome variation from population-scale sequencing.Nature, 467(7319):1061--1073, 2010.

5. W. Dai. Crypto++ 5.6. 0 benchmarks, 2009. http://www.cryptopp.com/benchmarks.html.

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