DocumentCode
190618
Title
Accelerating integer-based fully homomorphic encryption using Comba multiplication
Author
Moore, Carl ; O´Neill, Maire ; Hanley, Neil ; O´Sullivan, Elizabeth
Author_Institution
Centre for Secure Inf. Technol., Queen´s Univ. Belfast, Belfast, UK
fYear
2014
fDate
20-22 Oct. 2014
Firstpage
1
Lastpage
6
Abstract
Fully Homomorphic Encryption (FHE) is a recently developed cryptographic technique which allows computations on encrypted data. There are many interesting applications for this encryption method, especially within cloud computing. However, the computational complexity is such that it is not yet practical for real-time applications. This work proposes optimised hardware architectures of the encryption step of an integer-based FHE scheme with the aim of improving its practicality. A low-area design and a high-speed parallel design are proposed and implemented on a Xilinx Virtex-7 FPGA, targeting the available DSP slices, which offer high-speed multiplication and accumulation. Both use the Comba multiplication scheduling method to manage the large multiplications required with uneven sized multiplicands and to minimise the number of read and write operations to RAM. Results show that speed up factors of 3.6 and 10.4 can be achieved for the encryption step with medium-sized security parameters for the low-area and parallel designs respectively, compared to the benchmark software implementation on an Intel Core2 Duo E8400 platform running at 3 GHz.
Keywords
cloud computing; computational complexity; cryptography; field programmable gate arrays; random-access storage; real-time systems; scheduling; Comba multiplication scheduling method; DSP slices; FHE; Intel Core2 Duo E8400 platform; RAM; Xilinx Virtex-7 FPGA; cloud computing; computational complexity; cryptographic technique; encrypted data; hardware architectures; integer-based fully homomorphic encryption; real-time applications; Clocks; Computer architecture; Digital signal processing; Encryption; Field programmable gate arrays; Hardware;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems (SiPS), 2014 IEEE Workshop on
Conference_Location
Belfast
Type
conf
DOI
10.1109/SiPS.2014.6986063
Filename
6986063
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