Optimal privacy-aware path in hippocratic databases
Paper
Paper/Presentation Title | Optimal privacy-aware path in hippocratic databases |
---|---|
Presentation Type | Paper |
Authors | Li, Min (Author), Sun, Xiaoxun (Author), Wang, Hua (Author) and Zhang, Yanchun (Author) |
Editors | Zhou, X. |
Journal or Proceedings Title | Lecture Notes in Computer Science (Book series) |
Journal Citation | 5463, pp. 441-455 |
Number of Pages | 15 |
Year | 2009 |
Publisher | Springer |
Place of Publication | Germany |
ISSN | 1611-3349 |
0302-9743 | |
ISBN | 9783642008863 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-642-00887-0_39 |
Web Address (URL) of Paper | https://link.springer.com/chapter/10.1007/978-3-642-00887-0_39 |
Web Address (URL) of Conference Proceedings | https://link.springer.com/book/10.1007/978-3-642-00887-0 |
Conference/Event | DASFAA 2009: 14th International Conference on Database Systems for Advanced Applications |
Event Details | DASFAA 2009: 14th International Conference on Database Systems for Advanced Applications Event Date 21 to end of 23 Apr 2009 Event Location Brisbane, Australia |
Abstract | Privacy becomes a major concern for both customers and enterprises in today's corporate marketing strategies, many research efforts have been put into developing new privacy-aware technologies. Among them, Hippocratic databases are one of the important mechanisms to guarantee the respect of privacy principles in data management, which adopt purpose as a central concept associated with each piece of data stored in the databases. The proposed mechanism provides basic principles for future database systems protecting privacy of data as a founding tenet. However, Hippocratic databases do not allow to distinguish which particular method is used for fulfilling a purpose. Especially, the issues like purpose hierarchies, task delegations and minimal privacy cost are missing from the proposed mechanism. In this paper, we extend these mechanisms in order to support inter- organizational business processes in Hippocratic databases. A comprehensive approach for negotiation of personal information between customers and enterprises based on user preferences is developed when enterprises offer their clients a number of ways to fulfill a service. We organize purposes into purpose directed graphs through AND/OR decomposition, which supports task delegations and distributed authorizations. Specially, customers have controls of deciding how to get a service fulfilled on the basis of their personal feeling of trust for any service customization. Quantitative analysis is performed to characterize privacy penalties dealing with privacy cost and customer's trust. Finally, efficient algorithms are given to guarantee the minimal privacy cost and maximal customer's trust involved in a business process. |
Keywords | privacy; databases; data privacy; hippocratic database; data storage |
ANZSRC Field of Research 2020 | 460599. Data management and data science not elsewhere classified |
460499. Cybersecurity and privacy not elsewhere classified | |
460908. Information systems organisation and management | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Department of Mathematics and Computing |
Victoria University |
https://research.usq.edu.au/item/9yz30/optimal-privacy-aware-path-in-hippocratic-databases
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