Abstract
With the innovation of embedded devices, the concept of smart marketplace came into
 existence. A smart marketplace is a platform on which participants can trade multiple resources,
 such as water, energy, bandwidth. Trust is an important factor in the trading platform, as the
 participants would prefer to trade with those peers who have a high trust rating. Most of the existing
 trust management models for smart marketplace only provide a single aggregated trust score for
 a participant. However, they lack the mechanism to gauge the level of commitment shown by a
 participant while trading a particular resource. This work aims to provide a fine-grained trust score
 for a participant with respect to each resource that it trades. Several parameters, such as resource
 availability, success rate, and turnaround time are used to gauge the participant’s level of commitment,
 specific to the resource being traded. Moreover, the effectiveness of the proposed model is validated
 through security analysis against ballot-stuffing and bad-mouthing attacks, along with simulationbased
 analysis and a comparison in terms of accuracy, false positive, false negative, computational
 cost and latency. The results indicate that the proposed trust model has 7% better accuracy, 30.13%
 lower computational cost and 31.74% less latency compared to the existing benchmark model.
Highlights
The evolution of sensor-enabled smart gateways in smart homes has led to creative collaboration practices among participants of smart communities [1]
Simulation-based experiments were carried out to determine the performance of Tsmart and compare it with [8], in terms of commitment, trust score, detection accuracy, false positive, false negative, computational overhead, and transaction latency
The T-smart provides a resource-specific trust-score-computing mechanism that reveals the level of satisfaction each participant has recorded in a given resource type
Summary
The evolution of sensor-enabled smart gateways in smart homes has led to creative collaboration practices among participants of smart communities [1]. Such collaborations involve the exchange of resources (such as water, internet bandwidth, energy) in the form of trading, where a participant may request resources from other participants in exchange of a digital currency, such as ether [1,2]. This type of trading platform is known as a smart marketplace (SMP) [1,3]. A dishonest participant can maneuver requester participants to trade resources with it instead of the honest participants and dominate the trade by carrying out attacks, such as bad-mouthing and ballot-stuffing
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