47 citations · 92 across the 9 of their papers we have counts for
11 papers
Multi-Use Trust in Crowdsourced IoT Services
Mohammed Bahutair, Athman Bouguettaya, Azadeh Ghari Neiat
We introduce the concept of adaptive trust in crowdsourced IoT services. It is a customized fine-grained trust tailored for specific IoT consumers. Usage patterns of IoT consumers…
Composing Energy Services in a Crowdsourced IoT Environment
Abdallah Lakhdari, Athman Bouguettaya, Sajib Mistry +1
We propose a novel framework for composing crowdsourced wireless energy services to satisfy users' energy requirements in a crowdsourced Internet of Things (IoT) environment. A new…
A Deep Reinforcement Learning Approach for Composing Moving IoT Services
Azadeh Ghari Neiat, Athman Bouguettaya, Mohammed Bahutair
We develop a novel framework for efficiently and effectively discovering crowdsourced services that move in close proximity to a user over a period of time. We introduce a moving c…
Drone-as-a-Service Composition Under Uncertainty
Ali Hamdi, Flora D. Salim, Du Yong Kim +2
We propose an uncertainty-aware service approach to provide drone-based delivery services called Drone-as-a-Service (DaaS) effectively. Specifically, we propose a service model of…
An Internet of Things Service Roadmap
Athman Bouguettaya, Quan Z. Sheng, Boualem Benatallah +5
We propose a roadmap for leveraging the tremendous opportunities the Internet of Things (IoT) has to offer. We argue that the combination of the recent advances in service computin…
Multi-Perspective Trust Management Framework for Crowdsourced IoT Services
Mohammed Bahutair, Athman Bouguettaya, Azadeh Ghari Neiat
We propose a novel generic trust management framework for crowdsourced IoT services. The framework exploits a multi-perspective trust model that captures the inherent characteristi…
Resilient Composition of Drone Services for Delivery
Babar Shahzaad, Athman Bouguettaya, Sajib Mistry +1
We propose a novel resilient drone service composition framework for delivery in dynamic weather conditions. We use a skyline approach to select an optimal set of candidate drone s…
Just-in-Time Memoryless Trust for Crowdsourced IoT Services
Mohammed Bahutair, Athman Bouguettaya, Azadeh Ghari Neiat
We propose just-in-time memoryless trust for crowdsourced IoT services. We leverage the characteristics of the IoT service environment to evaluate their trustworthiness. A novel fr…
Cognitive Amplifier for Internet of Things
Bing Huang, Athman Bouguettaya, Azadeh Ghari Neiat
We present a Cognitive Amplifier framework to augment things part of an IoT, with cognitive capabilities for the purpose of improving life convenience. Specifically, the Cognitive…
Mobile Crowdsourced Sensors Selection for Journey Services
Ahmed Ben Said, Abdelkarim Erradi, Azadeh Ghari Neiat +1
We propose a mobile crowdsourced sensors selection approach to improve the journey planning service especially in areas where no wireless or vehicular sensors are available. We dev…
A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services
Ahmed Ben Said, Abdelkarim Erradi, Azadeh Ghari Neiat +1
This papers presents a deep learning-based framework to predict crowdsourced service availability spatially and temporally. A novel two-stage prediction model is introduced based o…