A Context-based Trust Management Model for Pervasive Computing Systems

TL;DR

This paper introduces a trust management model for pervasive computing that incorporates context awareness and fuzzy logic to improve trust assessment and decision-making in dynamic environments.

Contribution

It proposes a novel context-based trust management framework that integrates fuzzy logic into trust evaluation components for pervasive systems.

Findings

Enhanced trust prediction accuracy in dynamic environments

Effective integration of context and fuzzy logic in trust management

Improved decision-making for service selection

Abstract

Trust plays an important role in making collaborative decisions about service evaluation and service selection in pervasive computing. Context is a fundamental concept in pervasive systems, which is based on the interpretation of environment and systems. The dynamic nature of context can strongly affect trust management and service selection. In this paper, we present a context-based trust management model for pervasive computing systems. The concept of context is considered in basic components of the model such as trust computation module, recommender assessment module, transaction management module, and request responder. In order to measure a predicted trustworthiness according to the fuzzy nature of trust in pervasive environments, fuzzy concepts are integrated in the proposed model.