About the Project
The Blockpass Identity Lab at Edinburgh Napier University and the University of Oslo are collaborating on a project named CyberHunt, and which is co-funded by the Norwegian Research Council. CyberHunt aims to development innovative cyber technologies which can sense, detect, analyse, disrupt and outmanoeuvre adversaries. A core part of creating this infrastructure is the sharing of threat intelligence information. This studentship aims to implement a sharing infrastructure within a permissioned ledger infrastructure, and which creates an ecosystem for the trust sharing of threats. This includes creating a consensus around the validity of the threat information. An important focus of the research will be on the implementation privacy-preserving methods, will include areas of zero-knowledge proof (ZKP), delegated credentials, trusted signing, homomorphic encryption, and in creating rapid consensus mechanisms. It is expected that the work will also look at scaling into other threat reporting areas such for pandemic reporting.
A first degree (at least a 2.1) or MSc ideally in Computer Science-related area with a good fundamental knowledge of computer science and computer security.
English language requirement
IELTS score must be at least 6.5 (with not less than 6.0 in each of the four components). Other, equivalent qualifications will be accepted. Full details of the University’s policy are available online.
• Strong focus on applying computer security concepts, such as for the classification of threat information, trusted digital signing, data protection, and data privacy.
• Good written and oral communication skills.
• Strong motivation, with evidence of independent research skills relevant to the project.
• Good organisation and time management skills.
• Excellent in programming and software testing.
• Good knowledge and understanding of public key encryption methods.
• Experience developing back-end web-based applications, using web APIs.
• Knowledge of cryptography fundamentals and their application.
Fan, K., Wang, S., Ren, Y., Li, H., & Yang, Y. (2018). Medblock: Efficient and secure medical data sharing via blockchain. Journal of medical systems, 42(8), 136.
Wang, S., Zhang, Y., & Zhang, Y. (2018). A blockchain-based framework for data sharing with fine-grained access control in decentralized storage systems. IEEE Access, 6, 38437-38450.
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