Zusammenfassung
In context-aware systems, there is a high demand on providing privacy
solutions to users when they are interacting and exchanging personal
information. Privacy in this context encompasses reasoning about
trust and risk involved in interactions between users. Trust, therefore,
controls the amount of information that can be revealed, and risk
analysis allows us to evaluate the expected benefit that would motivate
users to participate in these interactions. In this paper, we propose
a trust-based model for privacy control in context-aware systems
based on incorporating trust and risk. Through this approach, it
is clear how to reason about trust and risk in designing and implementing
context-aware systems that provide mechanisms to protect users’
privacy. Our approach also includes experiential learning mechanisms
from past observations in reaching better decisions in future interactions.
The outlined model in this paper serves as an attempt to solve the
concerns of privacy control in context-aware systems. To validate
this model, we are currently applying it on a context-aware system
that tracks users’ location. We hope to report on
the performance evaluation and the experience of implementation in
the near future.
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