Problem statement
Traditional cloud storage systems face issues of centralized control, potential
failures, and privacy concerns. The challenge is to develop a decentralized cloud
storage system using technologies like blockchain, ensuring data privacy,
security, and availability.
Abstract
This project aims to create a Distributed and Decentralized Cloud Storage System
using cutting-edge technologies. By leveraging blockchain or other distributed
systems, the system will enhance data privacy and security, distributing data
across multiple nodes and eliminating the need for a central authority.
Outcome
The final outcome is an advanced cloud storage solution that ensures data
privacy, security, and availability through a decentralized architecture. Users can
securely store and retrieve data without relying on a single central entity, reducing
the risk of unauthorized access or data loss
Reference
Distributed storage is usually considered within a cloud provider to ensure availability and reliability of the data. However, the user is still directly dependent on the quality of a single system. It is also entrusting the service provider with large amounts of private data, which may be accessed by a successful attack to that cloud system or even be inspected by government agencies in some countries. This paper advocates a general framework for network coding enabled distributed storage over multiple commercial cloud solutions, such as, Dropbox, Box, Skydrive, and Google Drive, as a way to address these reliability and privacy issues. By means of theoretical analysis and real-life implementations, we show not only that our framework constitutes a viable solution to increase the reliability of stored data and to ensure data privacy, but it also provides a way to reduce the storage costs and to increase the download speed significantly. Our measurements show that the download time could be reduced up to six fold in some scenarios exploiting four commercial cloud solutions.
- A. Dimakis, V. Prabhakaran, and K. Ramchandran, “Ubiquitous access to distributed data in large-scale sensor networks through decentralized erasure codes,” Information Processing in Sensor Networks 2005. IPSN 2005. Fourth International Symposium on, pp. 111-117, 2005.
- A. G. Dimakis, P. B. Godfrey, M. J. Wainwright, and K. Ramchandran, “Network coding for distributed storage systems,” IEEE Int. Conf on Computer Comm. (INFOCOM), pp. 2000-2008, 2007.
- A. G. Dimakis, K. Ramchandran, Y. Wu, and C. Suh, “A survey on network codes for distributed storage,” Proceedings of the IEEE, vol. 99, no. 3, pp. 476-489, 2011.
- W. Lei, Y. Yuwang, Z. Wei, and L. Wei, “Ncstorage: A prototype of network coding based distributed storage system,” TELKOMNIKA Indonesian Journal of Electrical Engineering, vol. 11, no. 12, 2013.
- A. Le and A. Markopoulou, “Nc-audit: Auditing for network coding storage,” Int. Symp. on Network Coding (NetCod), pp. 155-160, 2012.
https://ieeexplore.ieee.org/document/7056318/