Security-control methods for statistical databases: a comparative study
ACM Computing Surveys (CSUR)
Web Security, Privacy and Commerce
Web Security, Privacy and Commerce
Deputy Mechanisms for Object-Oriented Databases
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Database Security-Concepts, Approaches, and Challenges
IEEE Transactions on Dependable and Secure Computing
Purpose based access control of complex data for privacy protection
Proceedings of the tenth ACM symposium on Access control models and technologies
Personalized privacy preservation
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Limiting disclosure in hippocratic databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Indistinguishability: the other aspect of privacy
SDM'06 Proceedings of the Third VLDB international conference on Secure Data Management
Secure anonymization for incremental datasets
SDM'06 Proceedings of the Third VLDB international conference on Secure Data Management
A privacy policy conflict detection method for multi-owner privacy data protection
Electronic Commerce Research
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The current privacy-preserving researches are based on the relational data model. However, the existing privacy data models based on the relational model exist some shortcomings. First, they are not enough for protection of composite privacy object. The current researches focus on the privacy data of individual and do not consider how to protect the relationship among several privacy objects. The relationship is also a type of privacy data of each individual. Second, the rapid increasing view make it is difficult for the privacy database administrator to manage the privacy database effectively. In this paper, a privacy data model based on deputy mechanism is proposed for solving those problems. The model can depict the generalization relationship among different privacy objects and provide a stronger hiding capability that IS-A relationship. Moreover, compared with object-oriented data model, the model pays more attention to the storage and usage of privacy data objects in the context of database. Finally, this paper illustrates how to implement the privacy model in the object deputy database management system.