PRIVATE-IYE: A Framework for Privacy Preserving Data Integration

Bhowmick, Sourav S.; Gruenwald, Le; Iwaihara, Mizuho; Chatvichienchai, Somchai

doi:10.1109/icdew.2006.117

Cited by 22 publications

(10 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We used 20 different sample queries 6 provided with the benchmark and executed each of them with different data concern values. There was no reported failure in the concern aware query execution and all the provided data concerns were assured, which proves the suitability of our tool and the potential for its incorporation into any data service integration application.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Incorporating Data Concerns into Query Languages for Data Services

Ali

Pichler

Truong

et al. 2012

Enterprise Information Systems

View full text Add to dashboard Cite

Abstract. More and more organizations provide their data on the web via data services -also referred to as Data as a Service (DaaS). Data services combine the strength of database systems and query languages on the one hand with the benefits of service-oriented architecture on the other hand. Data services are increasingly used for data integration. The data provided via data services is often associated with data concerns like privacy, licensing, pricing, quality of data, etc. Hence, data integration tools not only have to mitigate the heterogeneity in data formats and query languages. In addition, also the various data concerns should be preserved when data is published and utilized. Moreover, data service selection and data selection should be based on these data concerns. Current Data Integration systems using data services lack the ability to preserve data concerns while querying multiple services in an integrated environment. In this paper, we design a new querying system which takes data concerns into account. To this end we discuss several models of data concern aware querying and select the best suited one for our system. We describe a querying system where data concern awareness is integrated directly into the XQuery language. We also report on an implementation and experimental evaluation of this system.

show abstract

Section: Discussionmentioning

confidence: 99%

“…It has been studied in many different areas like data integration [6,7], data mining [8], and web services [9,10]. In [11] and similarly in [12], privacy has been studied in the context of data services.…”

Section: Introductionmentioning

confidence: 99%

Incorporating Data Concerns into Query Languages for Data Services

Ali

Pichler

Truong

et al. 2012

Enterprise Information Systems

View full text Add to dashboard Cite

show abstract

“…We realize, sharing the vision and insights from [2], [1], that there are many open issues and alternative approaches in building a full-fledged and integrated privacy-preserving data federation system. As the first attempt, we focus on the middleware framework with a selected set of privacy principles and query processing protocols.…”

Section: Contributionsmentioning

confidence: 99%

“…Clifton et al [2] were among the first to study the problem of privacy preserving integration and identified a set of key challenges and opportunities. Bhowmick et al [1] proposed an interesting conceptual architecture but the architecture was fairly complex and there was no system built.…”

Section: Related Workmentioning

confidence: 99%

DObjects+: Enabling Privacy-Preserving Data Federation Services

Jurczyk

Xiong

Goryczka

2012

2012 IEEE 28th International Conference on Data Engineering

View full text Add to dashboard Cite

Abstract-The emergence of cloud computing implies and facilitates managing large collections of highly distributed, autonomous, and possibly private databases. While there is an increasing need for services that allow integration and sharing of various data repositories, it remains a challenge to ensure the privacy, interoperability, and scalability for such services. In this paper we demonstrate a scalable and extensible framework that is aimed to enable privacy preserving data federations. The framework is built on top of a distributed mediatorwrapper architecture where nodes can form collaborative groups for secure anonymization and secure query processing when private data need to be accessed. New anonymization models and protocols will be demonstrated that counter potential attacks in the distributed setting.

show abstract

“…It has been studied in many different areas like data integration (Bhowmick et al, 2006;Clifton et al, 2004), data mining (Zhang and Zhao, 2007), and web services (Kobsa, 2001;Creese et al, 2009). In (Mrissa et al, 2010) and similarly in (McSherry, 2009), privacy has been studied in the context of data services.…”

Section: Introductionmentioning

confidence: 99%

Data Concern Aware Querying for the Integration of Data Services

Ali

Pichler

Truong

et al. 2011

Proceedings of the 13th International Conference on Enterprise Information Systems

View full text Add to dashboard Cite

Abstract:There is an increasing trend for organizations to publish data over the web using data services. The published data is often associated with data concerns like privacy, licensing, pricing, quality of data, etc. This raises several new challenges. For instance, it must be ensured that data consumers utilize the data in the right way and are bound to the rules and regulations defined by the data owner and data service provider. Current Data Integration systems using data services lack the ability to preserve data concerns while querying multiple services in an integrated environment. In this paper, we design a new querying system which takes data concerns into account. It supports automatic service selection based on data concerns and perfectly fits into dynamic data integration applications.

show abstract

PRIVATE-IYE: A Framework for Privacy Preserving Data Integration

Abstract: Data integration has been a long standing challenge to the database and data mining communities. This need has become critical in numerous contexts, including building e-commerce market places, sharing data from scientific research, and improving homeland security. However,

Cited by 22 publications

References 35 publications

Incorporating Data Concerns into Query Languages for Data Services

Incorporating Data Concerns into Query Languages for Data Services

DObjects+: Enabling Privacy-Preserving Data Federation Services

Data Concern Aware Querying for the Integration of Data Services

Contact Info

Product

Resources

About