| Issue |
MATEC Web Conf.
Volume 363, 2022
5th International Conference on Advances in Materials, Machinery, Electronics (AMME 2022)
|
|
|---|---|---|
| Article Number | 01031 | |
| Number of page(s) | 5 | |
| Section | Research papers | |
| DOI | https://doi.org/10.1051/matecconf/202236301031 | |
| Published online | 29 August 2022 | |
The Protection of Data Privacy of College Students
107 S Indiana Ave, Bloomington, IN 47405, US
Privacy data belongs to big data, and it is personal information from our lives. The common problem is privacy leaking and cyber attacks. The current solution uses a complex algorithm to encrypt data, but it is expensive and inefficient. In the paper, we combine students' information at university to make four layers based on a reliable framework named FMM. The proposed framework FMM, according to different privacy levels, will choose other encryption methods to protect these data and increase efficiency to keep trade-offs.
Key words: Privacy / Big data analytics / Security / Encryption / Protection
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
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