Preprocess-then-NTT technique and its applications to kyber and newhope
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 11449 LNCS, Page: 117-137
2019
- 18Citations
- 5Usage
- 16Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations18
- Citation Indexes18
- 18
- CrossRef9
- Usage5
- Downloads3
- Abstract Views2
- Captures16
- Readers16
- 16
Conference Paper Description
The Number Theoretic Transform (NTT) provides efficient algorithm for multiplying large degree polynomials. It is commonly used in cryptographic schemes that are based on the hardness of the Ring Learning With Errors problem (RLWE), which is a popular basis for post-quantum key exchange, encryption and digital signature. To apply NTT, modulus q should satisfy that q≡1mod2n, RLWE-based schemes have to choose an oversized modulus, which leads to excessive bandwidth. In this work, we present “Preprocess-then-NTT (PtNTT)” technique which weakens the limitation of modulus q, i.e., we only require q≡1modn or q≡1modn/2. Based on this technique, we provide new parameter settings for Kyber and NewHope (two NIST candidates). In these new schemes, we can reduce public key size and ciphertext size at a cost of very little efficiency loss.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85064105798&origin=inward; http://dx.doi.org/10.1007/978-3-030-14234-6_7; https://link.springer.com/10.1007/978-3-030-14234-6_7; https://ink.library.smu.edu.sg/sis_research/9199; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=10204&context=sis_research; https://dx.doi.org/10.1007/978-3-030-14234-6_7; https://link.springer.com/chapter/10.1007/978-3-030-14234-6_7
Springer Science and Business Media LLC
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