원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.7 No.3
2014.05
pp.363-376
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
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