Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. For technical support, please contact us at onlinesupport@ieee.org. We apologize for any inconvenience.
By Topic

Enhanced implementation of the NTRUEncrypt algorithm using graphics cards

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Kamal, A.A. ; Concordia Inst. for Inf. Syst. Eng., Concordia Univ., Montreal, QC, Canada ; Youssef, A.M.

The NTRU encryption algorithm, also known as NTRUEncrypt, is a parameterized family of lattice-based public key cryptosystems that has been accepted to the IEEE P1363 standards under the specifications for lattice-based public-key cryptography (IEEE P1363.1). The operations of the NTRU encryption algorithm show good characteristics for data parallel processing which makes the NTRU a good candidate to benefit from the high degree of parallelism available in modern graphics processing units (GPUs). In this paper, we investigate different GPU implementation options for the NTRU encryption algorithm. Our implementation, on the NVIDIA GTX275 GPU, using the CUDA framework, achieves about 77 MB/s for NTRU with the parameter set (N, q, p) = (1171, 2048, 3).

Published in:

Parallel Distributed and Grid Computing (PDGC), 2010 1st International Conference on

Date of Conference:

28-30 Oct. 2010