Sensor data anonymization based on genetic algorithm clustering with L-Diversity
The collecting of digital information by various organizations is producing significant volume of data. Processing by third-party companies is requiring data to be published. Published data in its initial form typically contains sensitive information about individuals. One of ways to preserve privac...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
FRUCT
2016-04-01
|
| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://fruct.org/publications/fruct18/files/Abd.pdf
|