| Title | An Elliptic Curve-based Protocol for Privacy Preserving Frequency Computation in 2-Part Fully Distributed Setting |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Van Vu, Thi, Luong, The Dung, Hoang, Van Quan |
| Conference Name | 2020 12th International Conference on Knowledge and Systems Engineering (KSE) |
| Keywords | 2-part fully distributed setting, composability, compositionality, Computational efficiency, Computing Theory, Computing Theory and Privacy, data privacy, Elliptic curve cryptography, Elliptic Curve Cryptosystem, Knowledge engineering, privacy, Privacy preserving frequency computation, privacy-preserving data mining, Protocols, pubcrawl, Resiliency, secure multi-party computation, Systems engineering and theory, theoretical cryptography |
| Abstract | Privacy-preserving frequency computation is critical to privacy-preserving data mining in 2-Part Fully Distributed Setting (such as association rule analysis, clustering, and classification analysis) and has been investigated in many researches. However, these solutions are based on the Elgamal Cryptosystem, making computation and communication efficiency low. Therefore, this paper proposes an improved protocol using an Elliptic Curve Cryptosystem. The theoretical and experimental analysis shows that the proposed method is effective in both computing and communication compared to other methods. |
| DOI | 10.1109/KSE50997.2020.9287423 |
| Citation Key | van_vu_elliptic_2020 |
An Elliptic Curve-based Protocol for Privacy Preserving Frequency Computation in 2-Part Fully Distributed Setting