Markov Encrypted Data Prefetching Model Based On Attribute Classification
| Title | Markov Encrypted Data Prefetching Model Based On Attribute Classification |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Zhengbo, Chen, Xiu, Liu, Yafei, Xing, Miao, Hu, Xiaoming, Ju |
| Conference Name | 2020 5th International Conference on Computer and Communication Systems (ICCCS) |
| Date Published | May 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-6136-5 |
| Keywords | attribute, Classification algorithms, Collaboration, CP-ABE, cryptography, Data models, data prefetch, encrypted, Hidden Markov models, Markov, Markov processes, modularity, Partitioning algorithms, Policy Based Governance, Prefetching, pubcrawl, Scalability |
| Abstract | In order to improve the buffering performance of the data encrypted by CP-ABE (ciphertext policy attribute based encryption), this paper proposed a Markov prefetching model based on attribute classification. The prefetching model combines the access strategy of CP-ABE encrypted file, establishes the user relationship network according to the attribute value of the user, classifies the user by the modularity-based community partitioning algorithm, and establishes a Markov prefetching model based on attribute classification. In comparison with the traditional Markov prefetching model and the classification-based Markov prefetching model, the attribute-based Markov prefetching model is proposed in this paper has higher prefetch accuracy and coverage. |
| URL | https://ieeexplore.ieee.org/document/9118433 |
| DOI | 10.1109/ICCCS49078.2020.9118433 |
| Citation Key | zhengbo_markov_2020 |