Liu, Fang (2023) Simulation of Privacy and Security Features of Big Data Based on Data De-Redundancy Technology. In: Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China.
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Abstract
This project takes big data as the research object and data redundancy as the entry point to study the new privacy encryption technology for big data. In this project, Bloom filtering method is used to reduce the dimension of massive data, hash function is used to process the redundancy algorithm, a
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 16:35 |
| Last Modified: | 17 Apr 2026 02:27 |
| URI: | http://eprints.eai.eu/id/eprint/44419 |
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