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Advanced Computing: An International Journal
(ACIJ)
ISSN: 2229 -6727 [Online] ; 2229 - 726X [Print]
http://airccse.org/journal/acij/acij.html
Current Issue: November 2018, Volume 9,
Number 6 --- Table of Contents
http://airccse.org/journal/acij/current.html
Paper -01
SECURE OUTSOURCED CALCULATIONS WITH HOMOMORPHIC
ENCRYPTION
Qi Wang, Dehua Zhou and Yanling Li
Department of Computer Science, Jinan University, China
ABSTRACT
With the rapid development of cloud computing, the privacy security incidents occur frequently,
especially data security issues. Cloud users would like to upload their sensitive information to
cloud service providers in encrypted form rather than the raw data, and to prevent the misuse of
data. The main challenge is to securely process or analyze these encrypted data without
disclosing any useful information, and to achieve the rights management efficiently. In this
paper, we propose the encrypted data processing protocols for cloud computing by utilizing
additively homomorphic encryption and proxy cryptography. For the traditional homomorphic
encryption schemes with many limitations, which are not suitable for cloud computing
applications. We simulate a cloud computing scenario with flexible access control and extend the
original homomorphic cryptosystem to suit our scenario by supporting various arithmetical
calculations. We also prove the correctness and security of our protocols, and analyze the
advantages and performance by comparing with some latest works.
KEYWORDS
Cloud Computing, Privacy, Homomorphic Encryption, Proxy Cryptography
For More Details : http://aircconline.com/acij/V9N6/9618acij01.pdf
Volume Link : http://airccse.org/journal/acij/current.html
REFERENCES
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homomorphic encryption. IEEE Transactions on Computers, 64(3), 698-706.
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Communications Security (pp.1518-1529). ACM.
[9] Yu, S., Wang, C., Ren, K., & Lou, W. (2010). Achieving secure, scalable, and fine-grained
data access control in cloud computing. IEEE INFOCOM (Vol.29, pp.1-9). IEEE.
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New Research Articles - 2018 November Issue- Advanced Computing: An International Journal (ACIJ)

  • 1. Advanced Computing: An International Journal (ACIJ) ISSN: 2229 -6727 [Online] ; 2229 - 726X [Print] http://airccse.org/journal/acij/acij.html Current Issue: November 2018, Volume 9, Number 6 --- Table of Contents http://airccse.org/journal/acij/current.html
  • 2. Paper -01 SECURE OUTSOURCED CALCULATIONS WITH HOMOMORPHIC ENCRYPTION Qi Wang, Dehua Zhou and Yanling Li Department of Computer Science, Jinan University, China ABSTRACT With the rapid development of cloud computing, the privacy security incidents occur frequently, especially data security issues. Cloud users would like to upload their sensitive information to cloud service providers in encrypted form rather than the raw data, and to prevent the misuse of data. The main challenge is to securely process or analyze these encrypted data without disclosing any useful information, and to achieve the rights management efficiently. In this paper, we propose the encrypted data processing protocols for cloud computing by utilizing additively homomorphic encryption and proxy cryptography. For the traditional homomorphic encryption schemes with many limitations, which are not suitable for cloud computing applications. We simulate a cloud computing scenario with flexible access control and extend the original homomorphic cryptosystem to suit our scenario by supporting various arithmetical calculations. We also prove the correctness and security of our protocols, and analyze the advantages and performance by comparing with some latest works. KEYWORDS Cloud Computing, Privacy, Homomorphic Encryption, Proxy Cryptography For More Details : http://aircconline.com/acij/V9N6/9618acij01.pdf Volume Link : http://airccse.org/journal/acij/current.html
  • 3. REFERENCES [1] Hewitt, C. (2008). ORGs for Scalable, Robust, Privacy-Friendly Client Cloud Computing. IEEE Educational Activities Department. [2] Dan, B., Laur, S., & Willemson, J. (2008). Sharemind: a framework for fast privacy. Lecture Notes in Computer Science, 5283(2008), 192-206. [3] Gentry, C. (2010). Computing arbitrary functions of encrypted data. Communications of the Acm, 53(3),97-105. [4] Wang, W., Hu, Y., Chen, L., Huang, X., & Sunar, B. (2015). Exploring the feasibility of fully homomorphic encryption. IEEE Transactions on Computers, 64(3), 698-706. [5] Peter, A., Tews, E., & Katzenbeisser, S. (2013). Efficiently outsourcing multiparty computation under multiple keys. IEEE Transactions on Information Forensics & Security, 8(12), 2046-2058. [6] Liu, X., Deng, R. H., Choo, K. K. R., & Weng, J. (2016). An efficient privacy-preserving outsourced calculation toolkit with multiple keys. IEEE Transactions on Information Forensics & Security, 11(11), 2401-2414. [7] Ding, W., Yan, Z., & Deng, R. H. (2017). Encrypted data processing with homomorphic re-encryption. Information Sciences. [8] Catalano, D., & Fiore, D. (2015). Using Linearly-Homomorphic Encryption to Evaluate Degree-2 Functions on Encrypted Data. ACM Sigsac Conference on Computer and Communications Security (pp.1518-1529). ACM. [9] Yu, S., Wang, C., Ren, K., & Lou, W. (2010). Achieving secure, scalable, and fine-grained data access control in cloud computing. IEEE INFOCOM (Vol.29, pp.1-9). IEEE. [10] Blaze, M., Bleumer, G., & Strauss, M. (1998). Divertible protocols and atomic proxy cryptography. Lecture Notes in Computer Science, 1403, 127-144. [11] Ivan, A. A., & Dodis, Y. (2003). Proxy Cryptography Revisited. Network and Distributed System Security Symposium, NDSS 2003, San Diego, California, Usa. DBLP. [12] Ateniese, G., Fu, K., Green, M., & Hohenberger, S. (2006). Improved proxy re-encryption schemes with applications to secure distributed storage. Acm Transactions on Information & System Security, 9(1), 1-30. [13] Ateniese, G., Benson, K., & Hohenberger, S. (2009). Key-Private Proxy Re-encryption. Topics in Cryptology - CT-RSA 2009, The Cryptographers' Track at the RSA Conference 2009, San Francisco, CA, USA, April 20-24, 2009. Proceedings (Vol.5473, pp.279-294). DBLP.
  • 4. [14] Bresson, E., Catalano, D., & Pointcheval, D. (2003). A simple public-key cryptosystem with a double trapdoor decryption mechanism and its applications. Lecture Notes in Computer Science, 2894, 37-54. [15] Dijk, M. V., Gentry, C., Halevi, S., & Vaikuntanathan, V. (2010). Fully Homomorphic Encryption over the Integers. International Conference on Theory and Applications of Cryptographic Techniques (Vol.2009, pp.24-43). Springer-Verlag. [16] Lópezalt, A., Tromer, E., & Vaikuntanathan, V. (2012). On-the-fly multiparty computation on the cloud via multikey fully homomorphic encryption. Proceedings of the Annual Acm Symposium on Theory of Computing, 1219-1234. [17] Ayday, E., Raisaro, J. L., Hubaux, J. P., & Rougemont, J. (2013). Protecting and evaluating genomic privacy in medical tests and personalized medicine. ACM Workshop on Workshop on Privacy in the Electronic Society (pp.95-106). ACM. [18] Paillier, P. (1999). Public-key cryptosystems based on composite degree residuosity classes. Advances in Cryptology — Eurocrypt, 547(1), 223--238. [19] Damgård, I., & Jurik, M. (2000). A generalisation, a simpli.cation and some applications of paillier's probabilistic public-key system. Lecture Notes in Computer Science, 1992(45), 119-- 136. [20] Geisler, M. (2007). Efficient and secure comparison for on-line auctions. Australasian Conference on Information Security and Privacy (Vol.1, pp.416-430). Springer-Verlag. [21] Shamir, A. (2011). How to share a secret. Communications of the Acm,22(22), 612-613. [22] Kamm, L., & Willemson, J. (2015). Secure floating point arithmetic and private satellite collision analysis. International Journal of Information Security, 14(6), 531-548. [23] Wang, B., Li, M., Chow, S. S. M., & Li, H. (2014). A tale of two clouds: Computing on data encrypted under multiple keys. Communications and Network Security (pp.337-345). IEEE.