Earticle

초록

영어

Due to the various characteristics from the pseudo random number generator or many kinds of deterministic devices such as arithmetic processing units, new principles and test schemes should be proposed for assessment of true random number generator. In this contribution, a novel viewpoint on designing a Normal distribution sampler applicable for implementing a homomorphic encryption system based on Ring-LWE crypto scheme is proposed. We suggest a Gaussian normal distribution sampler described with HDL to create uniformly distributed pseudo random numbers which will be used for generating non-symmetric key matrices and error matrices using an open-source AES cryptographic module. The implemented sampler can be conducted with high-speed clock frequency with its succinct critical delay paths as well.

목차

Abstract
 1. Introduction
 2. The Ring-Learning-With-Errors Cryptosystem
  2.1 Learning with Errors
  2.2 Ring-LWE
  2.3 Security Presumption of Normal Sampling
 3. Homomorphic Encryption Using Ring-LWE Encryption
 4. Gaussians
 5. Gaussian on Lattices
 6. AES Block Cipher
 7. Conclusion
 Acknowledgments
 References

키워드

저자

• Sangook Moon [ Mokwon University, Daejeon, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605