About
Contact & Profiles
A5068397294
Research Areas
- Privacy-Preserving Technologies in Data
- Privacy, Security, and Data Protection
- Mobile Crowdsensing and Crowdsourcing
- Cryptography and Data Security
Hebei University
2024
Lakehead University
2008
Privacy preservation during cooperation has become an interesting issue in the last few years. This problem attracted much research work. k-anonymization is efficient approach to protect data privacy. However, was proven NP-hard though idea of k-anonymizafion not complex. In this paper, we propose two simple but very algorithms, which work for numeric and categorical respectively, can minimize information loss as low possible. We show that these algorithms produce better performance...
10.1109/cscwd.2008.4537070
article
EN
2008-04-01
10.1016/j.cose.2024.104039
article
EN
Computers & Security
2024-08-06
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