The security issue of federated data warehouses in the area of evidence-based medicine

Stolba, Nevena; Banek, Marko; Tjoa, A. Min

doi:10.1109/ares.2006.132

Cited by 19 publications

(14 citation statements)

References 9 publications

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“…Remove, encrypt and group sensitive data: Data set attributes are analysed and transformed to remove or reduce the chances of compromising identity (Stolba et al, 2006). SDC methods: Systematic use of statistical disclosure control methods (Willenborg and de Waal, 2001) can be used to change actual attribute values while maintaining the overall integrity of a data set.…”

Section: Requirement No 3: Depersonalisationmentioning

confidence: 99%

Federated identity management to link and protect healthcare data

Peyton

2010

IJEB

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Healthcare data should be linked and aggregated across data sources from different organisations to manage performance and provide integrated services. The internet offers the possibility of providing near real-time integration, but the central issue is how to integrate federated identity management with healthcare data integration to protect patient identity and ensure compliance with privacy legislation. In this paper, we use a healthcare scenario to analyse three proposed approaches. Each approach addresses some aspects of the problem while failing to address others. We then present a single framework that combines the three approaches into a single, more comprehensive approach.

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Section: Requirement No 3: Depersonalisationmentioning

confidence: 99%

Federated identity management to link and protect healthcare data

Peyton

2010

IJEB

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“…The goal of depersonalization is to assure the impossibility and impracticability of reidentification of a person by means of other personal data available [11]. Stolba et al [12] describes that depersonalization may be done by:…”

Section: A23 Depersonalizationmentioning

confidence: 99%

Analysis of the Use of Privacy-Enhancing Technologies to Achieve PIPEDA Compliance in a B2C e-Business Model

Szeto

Miri

2007

Eighth World Congress on the Management of eBusiness (WCMeB 2007)

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The advanced computing power and reduced acquisition cost of information technology have facilitated the collection, storage, and processing of information in a short amount of time. Privacy legislation has been enacted to ensure that governments and businesses secure such collections in their systems and implement solutions to comply with the law. One such legislation in Canada is the Personal Information Protection and Electronic Documents Act (PIPEDA), intended as a technologyneutral data protection law, where the principles are general and do not require organizations to use a specific vendor or technological tool. In this paper, we give a detailed analysis and taxonomy of use of several privacy-enhancing technologies (PET) to assist Business-to-Consumer (B2C) organizations to comply with PIPEDA.Our analysis indicates that a combination of PETs can assist in complying with the ten PIPEDA privacy principles, with selection of the PETs to be determined by the organization's privacy handling practices.

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“…As pointed out in a survey on currently available data security techniques and security requirements [12,22,24], not much has been accomplished in totally securing DW systems and at the same time giving an excellent performance. [6] presented an approach to balance security and performance to enhance the privacy of DW.…”

Section: Introductionmentioning

confidence: 99%