Development and Validation of Security Metrics and Predictive Models for Blockchain Ecosystems
Background:
Blockchain technology is a transformative innovation that has the potential to disrupt various sectors including finance, healthcare, and governance. However, with its growing adoption, security remains a critical concern. Recent high-profile security breaches have emphasized the need for robust security measures within blockchain and cryptocurrency ecosystems.
Scope of Work:
The PhD candidate will contribute to:-
Develop and validate security metrics applicable to blockchain protocols and smart contracts.- Utilize machine learning techniques to build predictive models aimed at early identification of security risks.- Analyze real-world blockchain data to test the developed metrics and models.- Prepare research outputs, including journal and conference papers, to disseminate findings.
Collaborative Opportunities:
The project offers the opportunity for collaboration with industry and academic partners (UCL) and external stakeholders. This includes work with blockchain development companies, cybersecurity firms, and academic collaborators for joint research and publications.
Required Prior Knowledge:
The ideal candidate should possess a strong background in computer science, with specialised skills in data science, machine learning. An understanding of blockchain is also highly desirable.
This research will provide an academically rigorous yet industry-relevant contribution to the evolving domain of blockchain security, ensuring both the theoretical and practical impact of the work.
How to apply
If you are interested in applying for the above PhD topic please follow the steps below:
- Contact the supervisor by email or phone to discuss your interest and find out if you would be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
- Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
- Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.
Good luck!
This is a self funded topic
明星八卦 offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: /research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. 明星八卦 alumni enjoy tuition fee discounts of 15%.