2015 Seventh International Symposium on Parallel Architectures, Algorithms and Programming (PAAP) (2015)
Dec. 12, 2015 to Dec. 14, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PAAP.2015.47
The use of cloud storage services has increased rapidly in many organizations. However, the security of data stored in the cloud still remains major concerns. Due to risks of service availability failure and the possibility of malicious insiders in the single cloud, researches about "multi-clouds" have emerged recently. Recent researches that are related to multi-clouds have some limitations. For instance, Redundant Array of Cloud Storage (RACS) does not ensure data confidentiality. The performance of system is low in DEPSKY and so on. This paper presents a data hiding scheme that is based on Lagrange interpolation algorithm and multi-clouds. This scheme addresses data availability, data confidentiality and vendor lock-in issue in cloud storage services through the erasure codes and Lagrange interpolation algorithm instead of encryption to store data on diverse clouds. The performance analysis was done through experiences. We observed that our scheme improved the performance for the response times of data uploaded and downloaded.
Cloud computing, Interpolation, Reed-Solomon codes, Encoding, Encryption
Y. Jin, Y. Wang, W. Xia, L. Deng and H. He, "A Data Hiding Scheme Based on Lagrange Interpolation Algorithm and Multi-clouds," 2015 Seventh International Symposium on Parallel Architectures, Algorithms and Programming (PAAP), Nanjing, China, 2015, pp. 210-216.