Fuzzy
Trust Modelling for Pervasive Computing Applications (pp101-115)
Kostas Kolomvatsos, Maria Kalouda, Panagiota Papadopoulou, and
Stathes Hadjiefthymiades
doi:
https://doi.org/10.26421/JDI2.2-1
Abstracts:
Pervasive computing
applications involve the interaction between autonomous entities for
performing complex tasks and producing knowledge. Autonomous
entities can interact to exchange data and knowledge to fulfil
applications requirements. Intelligent Agents (IAs) ‘activated’ in
various devices offer a lot of advantages when representing such
entities due to their autonomous nature that enables them to perform
the desired tasks in a distributed way. However, in such open and
dynamic environments, IAs should be based on an efficient mechanism
for trusting unknown entities when exchanging data. The trust level
of an entity should be automatically calculated based on an
efficient methodology. Each entity is uncertain for the
characteristics and the intentions of the others. Fuzzy Logic (FL)
seems to be the appropriate tool for handling such kind of
uncertainty. In this paper, we present a model for trust calculation
under the principles of FL. Our scheme takes into consideration the
social dimension of trust as well as personal experiences of
entities before they decide interactions with an IA. The proposed
model is a two-level system involving three FL sub-systems to
calculate (a) the social trust (based on experiences retrieved by
the community), (b) the individual trust (based on personal
experiences) and (c) the final trust. We present our results by
evaluating the proposed system compared to other models and reveal
its significance.
Key words:
Pervasive Computing, Autonomous Entities, Trust,
Reputation, Fuzzy Logic