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Generating Realistic Cybersecurity Datasets and Testbeds

Supervisors

Suitable for

MSc in Advanced Computer Science
Mathematics and Computer Science, Part C
Computer Science and Philosophy, Part C
Computer Science, Part C
Computer Science, Part B

Abstract

A common challenge in the cybersecurity research community is the limited availability of cybersecurity data: while there are some real data captures made available publicly or for research purposes, challenges of confidentiality and practicality mean the resources are limited. A particular example is the availability of network data from various environments: the networks of organisations; Industrial Internet-of-Things (IIoT) environments; and Blockchain networks. This project seeks to develop high-quality synthetic cybersecurity datasets that would benefit the cybersecurity research community. The project would begin with background research to identify the characteristics of a realistic dataset. The approach might then involve creating a cybersecurity testbed composed of a synthetic network and set of attack test suites, and capturing traffic.