Friendship links-based privacy-preserving algorithm against inference attacks
Directly publishing the original data of social networks may compromise personal privacy because social relationship data contain sensitive information about users. To protect the social relationships against inference attacks and achieve the trade-off between privacy and utility, we propose a priva...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Springer
2022-11-01
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| Серія: | Journal of King Saud University: Computer and Information Sciences |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S1319157822003433 |
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