@article{3975,
  author = {Kousalya, A , Karpagavadivu, K},
  title = {A Secure Privacy-preserving Three-layer Framework for Cloud Storage Based on Fog Computing},
  journal = {Journal of Networking Technology },
  year = {2024},
  volume = {15},
  number = {1},
  doi = {https://doi.org/10.6025/jnt/2024/15/1/11-21},
  url = {https://www.dline.info/jnt/fulltext/v15n1/jntv15n1_2.pdf},
  abstract = {Witnessing the rapid growth in technology development in recent years, there is a need to store the huge amounts of data generated and stored. Cloud storage is widely used for storing large, structured, unstructured data. Cloud computing services are provided by third-party authorities to store all the data in a distributed framework. Data stored in the cloud has to be protected to guarantee the security of its clients. However, Cloud Service Providers (CSP) control the data stored by the users, thus separating ownership and management of data. The current schema uses traditional encryption technology, which is not effective in handling the user’s data without privacy leakage. Hence, we propose a three-layer framework based on fog computing, an extension of cloud computing that carries out a substantial amount of computation, storage, and communication locally and routed over the internet. In this framework, we implement the Hash-Solomon code algorithm to isolate the data into several parts stored in a local machine, fog server and cloud server. This can ensure security from internal attackers. Moreover, Computational Intelligence computes the distribution proportion in each server. The plausibility has been validated through experimental analysis, a ground-breaking supplement to existing distributed storage conspire. },
}