Knowledge Discovery In A Circle Of Trust
Author(s)
L. Peyton & J. Hu
Abstract
There are now many services for individuals and businesses available over the
Internet. In providing these services, personal data is exchanged. There are
security and privacy concerns about protecting identity and controlling the use of
personal data. The Liberty Alliance project has developed a set of standards and
architecture for federated identity management. A circle of trust (CoT) is a
network based on the Liberty Alliance architecture in which businesses
collaborate to provide services in a manner that protects identity and carefully
controls the sharing of personal data. We analyse the requirements of each stage
of a knowledge discovery process in the context of a CoT, and recognize data
collection as an important step with respect to protecting privacy and identity.
An eHealth scenario in which data mining is used to detect prescription misuse
illustrates how to implement a trusted data collection architecture in a CoT .
Keywords: circle of trust, data collection, privacy, data mining, architecture.
1 Introduction
With the growth of on-line services data is often shared and collected across
organizations in distributed business to business (B2B) networks across the
Internet. Data mining is an important tool for monitoring the services provided
within such networks, but the data needed for data mining may come from
several organizations. Because each organization operates independently, they
each have only a partial view of the data involved. Data sharing is required in
order to collect and analyse data. However, there are security and privacy
concerns about protecting identity and controlling the use of personal data. In
response to this concern, governments have enacted privacy laws such as the
European Union Prime Directive on Privacy [1], the Health Insurance Portability
and Privacy Act [2] in the United States and the Privacy Act and the Personal
Information Protection and Electronic Documents Act (PIPEDA) [3] in Canada.
Keywords
circle of trust, data collection, privacy, data mining, architecture.
Related Book
Other papers in this volume
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