Abstract
Distributed types of data storage techniques are important especially for the cases where data centers are compromised by big natural disasters or malicious users, or where data centers consist of nodes with low security and reliability. Techniques using secured distribution and Reed-Solomon coding have been proposed to cope with the above issue, but they are not efficient enough for dealing with big data in cloud computing in terms of return-on-investment. This paper proposes a secure distributed storage system architecture. It maintains high security level by using packaging techniques that need not require key management inherent in AES encryption. Moreover, it scales out so that it is capable of storing a large amount of data safely and securely. The performance of the architecture is also dealt with in terms of storage efficiency and security evaluation.
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Minowa, T., Takahashi, T. (2012). Secure Distributed Storage for Bulk Data. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7667. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34500-5_67
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DOI: https://doi.org/10.1007/978-3-642-34500-5_67
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