ProfessorAthman Bouguettaya
Professor
Faculty of Engineering
Research projects & supervision summary
Project Opportunities
Title: Adaptive and Ubiquitous Trust Framework for Internet of Things interactions
Summary of opportunity:
Research Area:
Trust, Internet of Things (IoT), Crowdsharing
Opportunity synopsis:
These PhD scholarships are funded by the Australian Research Council (ARC) Discovery Projects (DP) grant.
The project's aim is to address the trust challenges in Internet of Things (IoT) environments, thus enabling the wide deployment of potentially billions of IoT devices. This project will generate new knowledge in the area of IoT Trust by developing novel techniques to establish trust in highly dynamic crowdsourcing IoT environments.
The project's main outcomes include the development of a ubiquitous and adaptive multi-component trust framework reflecting trust perspectives. The developed solutions will allow the establishment of trusted interactions among crowdsourced IoT devices and wider deployment of convenient and just-in-time services, thus enabling the development of novel applications, such as the crowdsourcing of green energy.
Further Information:
Up to two PhD scholarships will be available.
How to Apply: To apply, please email athman.bouguettaya@sydney.edu.au the following:
- CV
- Transcripts
RESEARCH PROJECTS & ACTIVITIES
- RESEARCH-BASED DEGREE SUPERVISIONComposing IoT Wireless Energy Services
- RESEARCH-BASED DEGREE SUPERVISIONCrowdsourcing IoT Energy Services
- RESEARCH-BASED DEGREE SUPERVISIONDetecting AI-generated Audios Using Metadata
- RESEARCH-BASED DEGREE SUPERVISIONDetermining the Trust of Social Media images
- RESEARCH-BASED DEGREE SUPERVISIONDigital Fall Biomarker for In-Home Fall Prediction in Older Adults
- RESEARCH-BASED DEGREE SUPERVISIONDrone-Based Delivery Services in Smart Cities
- RESEARCH-BASED DEGREE SUPERVISIONEnabling Convenience in IoT-based Smart Homes
- RESEARCH-BASED DEGREE SUPERVISIONEnhancing Security and Privacy in Cryptocurrency Exchanges
- RESEARCH-BASED DEGREE SUPERVISIONIoT Service Recommendation for Multi-resident Smart Homes
- RESEARCH-BASED DEGREE SUPERVISIONLong-term IaaS Cloud Service Selection
- RESEARCH-BASED DEGREE SUPERVISIONResidual-based Reliability Provisioning for Crowdsourced IoT Energy Services
- RESEARCH-BASED DEGREE SUPERVISIONSkyway Network Management for the Efficient Operation of Drone-based Delivery Services.
- RESEARCH-BASED DEGREE SUPERVISIONSwarm-Based Drone-as-a-Service for Delivery
- RESEARCH-BASED DEGREE SUPERVISIONTowards Hyper-efficient IoT Networks Using Fog Paradigm
- RESEARCH-BASED DEGREE SUPERVISIONTowards Service-Centric Trust: A Comprehensive Framework for Detecting Malicious Use of AI-Generated Images
- RESEARCH-BASED DEGREE SUPERVISIONTrust Information Management in Distributed Crowdsourced Internet of Things (IoT) Services
- RESEARCH-BASED DEGREE SUPERVISIONTrust Management of Crowdsourced IoT Services