3 Aug 2017
Mohammed Bahutair and Athman Bouguettaya.
The project focuses on designing a novel and innovative framework to effectively and accurately evaluate the trustworthiness of crowdsourced Internet of Things (IoT) services, taking into account services’ contexts and users’ trust requirements. It aims at offering users the best quality of experience of crowdsourced IoT services with hassle-free trust guarantee. It also aims at promoting a new crowdsourced IoT service market where numerous potential commercial opportunities are expected to arise with the advent of emerging applications.
Publications
– Conferences:
- Blockchain-based Trust Information Storage in Crowdsourced IoT Services. Mohammed Bahutair, and Athman Bouguettaya . ICWS 2021, Virtual.
- Just-in-Time Memoryless Trust for Crowdsourced IoT Services. Mohammed Bahutair, Athman Bouguettaya, and Sajib Mistry. ICWS 2020, Beijing, China.
- Adaptive Trust: Usage-Based Trust in Crowdsourced IoT Services. Mohammed Bahutair, Athman Bouguettaya, and Azadeh Ghari Neiat. ICWS 2019: Milan, Italy.
– Journals:
- Multi-Use Trust in Crowdsourced IoT Services. Mohammed Bahutair, Athman Bouguettaya, and Azadeh Ghari Neiat. IEEE Transactions on Services Computing (2022).
- A Deep Reinforcement Learning Approach for Composing Moving IoT Services. Azadeh Ghari Neiat, Athman Bouguettaya, and Mohammed Bahutair. IEEE Transactions on Services Computing (2021).
- Multi-Perspective Trust Management Framework for Crowdsourced IoT Services. Mohammed Bahutair, Athman Bouguettaya, and Azadeh Ghari Neiat. IEEE Transactions on Services Computing (2020).