@inproceedings{7d04686b5f54445299c533f828461399,
title = "Accelerating ltv based homomorphic encryption in reconfigurable hardware",
abstract = "After being introduced in 2009, the first fully homomorphic encryption (FHE) scheme has created significant excitement in academia and industry. Despite rapid advances in the last 6 years, FHE schemes are still not ready for deployment due to an efficiency bottleneck. Here we introduce a custom hardware accelerator optimized for a class of reconfigurable logic to bring LTV based somewhat homomorphic encryption (SWHE) schemes one step closer to deployment in real-life applications. The accelerator we present is connected via a fast PCIe interface to a CPU platform to provide homomorphic evaluation services to any application that needs to support blinded computations. Specifically we introduce a number theoretical transform based multiplier architecture capable of efficiently handling very large polynomials. When synthesized for the Xilinx Virtex 7 family the presented architecture can compute the product of large polynomials in under 6. 25 msec making it the fastest multiplier design of its kind currently available in the literature and is more than 102 times faster than a software implementation. Using this multiplier we can compute a relinearization operation in 526 msec. When used as an accelerator, for instance, to evaluate the AES block cipher, we estimate a per block homomorphic evaluation performance of 442 msec yielding performance gains of 28. 5 and 17 times over similar CPU and GPU implementations, respectively.",
keywords = "FPGA, NTT multiplication, Somewhat homomorphic encryption",
author = "Yarkın Dor{\"o}z and Erdin{\c c} {\"O}zt{\"u}rk and Erkay Sava{\c s} and Berk Sunar",
note = "Publisher Copyright: {\textcopyright} International Association for Cryptologic Research 2015.; International Workshop on Cryptographic Hardware and Embedded Systems, CHES 2015 ; Conference date: 13-09-2015 Through 16-09-2015",
year = "2015",
doi = "10.1007/978-3-662-48324-4_10",
language = "English (US)",
isbn = "9783662483237",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "185--204",
editor = "Tim G{\"u}neysu and Helena Handschuh",
booktitle = "Cryptographic Hardware and Embedded Systems - 17th International Workshop, CHES 2015, Proceedings",
address = "Germany",
}