An efficient secure distributed cloud storage for append-only data
B Sengupta, N Nikam, S Ruj… - 2018 IEEE 11th …, 2018 - ieeexplore.ieee.org
2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 2018•ieeexplore.ieee.org
Cloud computing enables users (clients) to outsource large volume of their data to cloud
servers. Secure distributed cloud storage schemes ensure that multiple servers store these
data in a reliable and untampered fashion. We propose an idea to construct such a scheme
for static data by encoding data blocks (using error-correcting codes) and then attaching
authentication information (tags) to these encoded blocks. We identify some challenges
while extending this idea to accommodate append-only data. Then, we propose our secure …
servers. Secure distributed cloud storage schemes ensure that multiple servers store these
data in a reliable and untampered fashion. We propose an idea to construct such a scheme
for static data by encoding data blocks (using error-correcting codes) and then attaching
authentication information (tags) to these encoded blocks. We identify some challenges
while extending this idea to accommodate append-only data. Then, we propose our secure …
Cloud computing enables users (clients) to outsource large volume of their data to cloud servers. Secure distributed cloud storage schemes ensure that multiple servers store these data in a reliable and untampered fashion. We propose an idea to construct such a scheme for static data by encoding data blocks (using error-correcting codes) and then attaching authentication information (tags) to these encoded blocks. We identify some challenges while extending this idea to accommodate append-only data. Then, we propose our secure distributed cloud storage scheme for append-only data that addresses the challenges efficiently. The main advantage of our scheme is that it enables the servers to update the parity blocks themselves. Moreover, the client need not download any data (or parity) block to update the tags of the modified parity blocks residing on the servers. Finally, we analyze the security and performance of our scheme.
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