A study of user data privacy protection algorithms in the context of metaverse based on emotional AI IoT
In the context of the metaverse, user data privacy protection has become an important issue. In this paper, firstly, a user data privacy leakage risk assessment scheme is designed by attribute sensitivity calculation, attribute similarity calculation, and attribute association calculation. Then a da...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.00636 |
| _version_ | 1797340755024412672 |
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| author | Shi Lusheng Zhu Huibo |
| author_facet | Shi Lusheng Zhu Huibo |
| author_sort | Shi Lusheng |
| collection | DOAJ |
| description | In the context of the metaverse, user data privacy protection has become an important issue. In this paper, firstly, a user data privacy leakage risk assessment scheme is designed by attribute sensitivity calculation, attribute similarity calculation, and attribute association calculation. Then a data privacy protection algorithm based on differential privacy is proposed, and the differential privacy data protection algorithm and implementation mechanism are described. Finally, the performance of the differential privacy protection algorithm is evaluated by analyzing the learning performance and protection performance of the algorithm. The results show that the learning performance of the differential privacy protection model decreases with increasing τ when q = 0 The larger q is, the better the protection performance of the model is, and the optimal τ value also shows a trend to the right. This study provides an effective method for user data privacy protection under the metaverse and offers new ideas for research in related fields. |
| first_indexed | 2024-03-08T10:07:54Z |
| format | Article |
| id | doaj.art-9bc79e6ca1154294b749872df0dc5d56 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:07:54Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-9bc79e6ca1154294b749872df0dc5d562024-01-29T08:52:34ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00636A study of user data privacy protection algorithms in the context of metaverse based on emotional AI IoTShi Lusheng0Zhu Huibo11Suqian University, Suqian, Jiangsu, 223800, China.1Suqian University, Suqian, Jiangsu, 223800, China.In the context of the metaverse, user data privacy protection has become an important issue. In this paper, firstly, a user data privacy leakage risk assessment scheme is designed by attribute sensitivity calculation, attribute similarity calculation, and attribute association calculation. Then a data privacy protection algorithm based on differential privacy is proposed, and the differential privacy data protection algorithm and implementation mechanism are described. Finally, the performance of the differential privacy protection algorithm is evaluated by analyzing the learning performance and protection performance of the algorithm. The results show that the learning performance of the differential privacy protection model decreases with increasing τ when q = 0 The larger q is, the better the protection performance of the model is, and the optimal τ value also shows a trend to the right. This study provides an effective method for user data privacy protection under the metaverse and offers new ideas for research in related fields.https://doi.org/10.2478/amns.2023.2.00636metaverseuser dataleakage risk assessmentdifferential privacyprivacy-preserving algorithms68t05 |
| spellingShingle | Shi Lusheng Zhu Huibo A study of user data privacy protection algorithms in the context of metaverse based on emotional AI IoT Applied Mathematics and Nonlinear Sciences metaverse user data leakage risk assessment differential privacy privacy-preserving algorithms 68t05 |
| title | A study of user data privacy protection algorithms in the context of metaverse based on emotional AI IoT |
| title_full | A study of user data privacy protection algorithms in the context of metaverse based on emotional AI IoT |
| title_fullStr | A study of user data privacy protection algorithms in the context of metaverse based on emotional AI IoT |
| title_full_unstemmed | A study of user data privacy protection algorithms in the context of metaverse based on emotional AI IoT |
| title_short | A study of user data privacy protection algorithms in the context of metaverse based on emotional AI IoT |
| title_sort | study of user data privacy protection algorithms in the context of metaverse based on emotional ai iot |
| topic | metaverse user data leakage risk assessment differential privacy privacy-preserving algorithms 68t05 |
| url | https://doi.org/10.2478/amns.2023.2.00636 |
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