Supervisors

- Position
- Professor of Distributed Systems & Chair in Applied Data Sciences
- Division / Faculty
- Science and Engineering Faculty
Overview
Blockchain is an unchangeable, distributed database. which provides trust in data once it is stored on the database. However, in Internet-of-Things (IoT), the data is an observation of physical context and is susceptible to noise, drift, or malicious alterations. Sensors may be even decoupled from their intended context by an attacker, which may compromise the blockchain data and its value for guiding decision.
This project aims to develop an innovative approach for pervasive trust in IoT, underpinned by blockchain. The research in this project will develop methods and algorithms for identity and data trust in IoT with the support of blockchain technology.
Research activities
This project involves:
- designing and developing new trust algorithms
- communicating the results through publications.
Outcomes
Upon conclusion of the research project, you'll have contributed to the development of algorithms for identity and data trust.
Skills and experience
To participate in this research, we expect you to have skills and/or experience with:
- network security.
While not mandatory, we'd also prefer if you had skills and/or experience with:
- blockchain
- Internet-of-Things (IoT)
- machine learning.
Scholarships
You may be able to apply for a research scholarship in our annual scholarship round.
Keywords
Contact
Contact the supervisor for more information.