E-Notebook Middleware For Accountability And Reputation Based Trust In Distributed Data Sharing Communities

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Author

Paul Ruth, Dongyan Xu, Bharat Bhargava, Fred Regnier

Tech report number

CERIAS TR 2004-18

Entry type

inproceedings

Abstract

This paper presents the design of a new middleware which provides trust and accountability to distributed data sharing communities. The main application for the project is within the context of scientific collaborations where many researchers share directly collected data, thus allowing them to create new data sets by performing transformations on existing shared data sets. In data sharing communities one cannot always trust the data obtained from others in the community. However the field of data provenance does not consider malicious or untrustworthy users. By adding accountability to the provenance of each data set, this middlware ensures data integrity insofar as any errors can be identified and corrected. The user is further protected from faulty data by a trust view created from past experiences and second-hand recommendations. A trust view is based on real world social interactions and reflects each user's own experiences within the community. By identifying providers of faulty data and removing them from a trust view, the integrity of all data is increased.

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Date

2004 – 03 – 29

URL

http://www.cs.purdue.edu/homes/dxu/pubs/iTrust04.pdf

Booktitle

Lecture Notes in Computer Science (LNCS)

Key alpha

Publisher

Springer-Verlag

Series

Lecture Notes in Computer Science

Volume

2995

Affiliation

Purdue University

Publication Date

2004-03-29

Keywords

Trust management, data sharing

Subject

Trust management

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@Inproceedings{ Xu,
	title = "E-Notebook Middleware For Accountability And Reputation Based Trust In Distributed Data Sharing Communities",
	author = "Paul Ruth, Dongyan Xu, Bharat Bhargava, Fred Regnier",
	year = "2004",
	month = "03",
	booktitle = "Lecture Notes in Computer Science (LNCS)",
	publisher = "Springer-Verlag",
	series = "Lecture Notes in Computer Science",
	volume = "2995",
	day = "29",
	abstract = "This paper presents the design of a new middleware which provides trust and accountability to distributed data sharing communities.  The main application for the project is within the context of scientific collaborations where many researchers share directly collected data, thus allowing them to create new data sets by performing transformations on existing shared data sets.  In data sharing communities one cannot always trust the data obtained from others in
the community.  However the field of data provenance does not consider
malicious or untrustworthy users.  By adding accountability to the provenance of each data set, this middlware ensures data integrity
insofar as any errors can be identified and corrected.  The user is
further protected from faulty data by a trust view created from past experiences and second-hand recommendations.  A trust view is based on real world social interactions and reflects each user's own experiences within the community.  By identifying providers of faulty data and removing them from a trust view, the integrity of all data is increased.
",
	affiliation = "Purdue University",
	keywords = "Trust management, data sharing",
	subject = "Trust management",
	url = "http://www.cs.purdue.edu/homes/dxu/pubs/iTrust04.pdf",
}