DUEF-GA: data utility and privacy evaluation framework for graph anonymization.
Jordi Casas-RomaPublished in: Int. J. Inf. Sec. (2020)
Keyphrases
- privacy preserving
- data sets
- data privacy
- data quality
- privacy requirements
- data sources
- genetic algorithm
- evaluation framework
- training data
- information loss
- neural network
- private information
- data mining techniques
- information retrieval
- error rate
- log data
- semantic web
- sensitive information
- artificial neural networks
- multimedia
- preserving privacy
- anonymized data