Data privacy protection technology of wearable-devices
| Autor: | Shuangxia Tang, Kunquan Shi |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
Computer science business.industry General Engineering 020206 networking & telecommunications 02 engineering and technology Computer security computer.software_genre Data privacy protection Artificial Intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business computer Wearable technology |
| Zdroj: | Journal of Intelligent & Fuzzy Systems. 40:2973-2980 |
| ISSN: | 1875-8967 1064-1246 |
| DOI: | 10.3233/jifs-189336 |
| Popis: | Wearable-devices have developed rapidly. Meanwhile, the security and privacy protection of user data has also occurred frequently. Aiming at the process of privacy protection of wearable-device data release, based on the conventional V-MDAV algorithm, this paper proposes a WSV-MDAV micro accumulation method based on weight W and susceptible attribute value sensitivity parameter S and introduces differential-privacy after micro accumulation operating. By simulating the Starlog dataset and the Adult dataset, the results show that, compared with the conventional multi-variable variable-length algorithm, the privacy protection method proposed in this paper has improved the privacy protection level of related devices, and the information distortion has been properly resolved. The construction of the release model can prevent susceptible data with identity tags from being tampered with, stolen, and leaked by criminals. It can avoid causing great spiritual and property losses to individuals, and avoid harming public safety caused by information leakage. |
| Databáze: | OpenAIRE |
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