| Title | A Blockchain-Assisted Privacy-Preserving Cloud Computing Method with Multiple Keys |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Huang, Liangqun, Xu, Lei, Zhu, Liehuang, Gai, Keke |
| Conference Name | 2021 IEEE 6th International Conference on Smart Cloud (SmartCloud) |
| Keywords | blockchain, blockchains, cloud computing, data privacy, homomorphic encryption, multiple keys, privacy, privacy protection, Protocols, pubcrawl, Public key, resilience, Resiliency, Scalability, Servers, user privacy in the cloud |
| Abstract | How to analyze users' data without compromising individual privacy is an important issue in cloud computing. In order to protect privacy and enable the cloud to perform computing, users can apply homomorphic encryption schemes to their data. Most of existing homomorphic encryption-based cloud computing methods require that users' data are encrypted with the same key. While in practice, different users may prefer to use different keys. In this paper, we propose a privacy-preserving cloud computing method which adopts a double-trapdoor homomorphic encryption scheme to deal with the multi-key issue. The proposed method uses two cloud servers to analyze users' encrypted data. And we propose to use blockchain to monitor the information exchanged between the servers. Security analysis shows that the introduction of blockchain can help to prevent the two servers from colluding with each other, hence data privacy is further enhanced. And we conduct simulations to demonstrate the feasibility of the propose method. |
| DOI | 10.1109/SmartCloud52277.2021.00011 |
| Citation Key | huang_blockchain-assisted_2021 |
A Blockchain-Assisted Privacy-Preserving Cloud Computing Method with Multiple Keys