Earticle

초록

영어

In recent years, outsourcing large amount of data in cloud and how to manage the data raises many challenges with respect to privacy. The concerns of privacy can be addressed if cloud users encrypt the data deployed in the cloud. Among the various cryptographic encryption schemes, homomorphic scheme allow to perform meaningful computations on encrypted data. In this context, the research deals with homomorphic encryption scheme for maintaining privacy and security in cloud by detecting the error incurred while transferring data using RSA cryptosystem. Three types omomorphic error detection schemes proved that preserving privacy seems to be efficient using Map-Reduce Model.

목차

Abstract
 1. Introduction
 2. Fault Attack on Cryptographic Implementations
 3. Fault attack on RSA
  3.1. RSA Encryption Scheme
  3.2. RSA Homomorphic Property
  3.3. Paillier Encryption Scheme
  3.4. Paillier Homomorphic Property
 4. Homomorphic Based Error Detection Scheme
  4.1. Multiplicative Property
  4.2. Additive Property
  4.3. ED Scheme for Even Chunks
  4.4. ED Scheme for ODD Chunks
  4.5. Enhanced ED Scheme
 6. Results and Discussions
  6.1. Experimental Setup
  6.2. ED Scheme for Even Chunks
  6.3. ED Scheme for Odd Chunks
  6.4 ED Scheme Using Map-Reduce
 7. Conclusion
 References

키워드

저자

• Sujitha . G [ Anna University, Chennai, TamilNadu, India ]
• Rajeswaran .T [ Anna University, Chennai, TamilNadu, India ]
• Thiagarajan.R [ Anna University, Chennai, TamilNadu, India ]
• Vidya. K Mercy Shalinie. S [ Anna University, Chennai, TamilNadu, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605