Optimal Privacy-aware Path in Hippocratic Databases?
BibTeX
@MISC{Li_optimalprivacy-aware,
author = {Min Li and Xiaoxun Sun and Hua Wang and Yanchun Zhang},
title = {Optimal Privacy-aware Path in Hippocratic Databases?},
year = {}
}
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Abstract
Abstract. Privacy becomes a major concern for both customers and en-terprises 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 princi-ples 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 compre-hensive approach for negotiation of personal information between cus-tomers 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 de-composition, which supports task delegations and distributed authoriza-tions. Specially, customers have controls of deciding how to get a service fulfilled on the basis of their personal feeling of trust for any service cus-tomization. Quantitative analysis is performed to characterize privacy penalties dealing with privacy cost and customer’s trust. Finally, effi-cient algorithms are given to guarantee the minimal privacy cost and maximal customer’s trust involved in a business process. 1
Keyphrases
hippocratic database optimal privacy-aware path minimal privacy cost task delegation founding tenet purpose hierarchy service cus-tomization future database system important mechanism user preference particular method quantitative analysis new privacy-aware technology customer trust personal feeling privacy principle proposed mechanism data management effi-cient algorithm major concern business process today corporate marketing strategy many research effort privacy cost maximal customer trust central concept basic princi-ples inter-organizational business process compre-hensive approach privacy penalty personal information
