Detection by Learning Software Models
A new cyber security research project at University of Edinburgh’s School of Informatics in collaboration with Edinburgh Parallel Computing Centre and British Telecom Labs in Adastral Park.
- David Aspinall, Informatics, University of Edinburgh
- Wei Chen, Informatics, University of Edinburgh
- Gudmund Grov, Informatics, University of Edinburgh
- Marc Sabate, EPCC, University of Edinburgh
Open PhD Position!
We have a PhD Studentship sponsored by BT Labs available now at the University of Edinburgh (start date Q1 2018).
This project will combine methods from machine learning and formal verification, to automatically learn precise semantic models of software and devices which describe normal traffic patterns and logging behaviours. Then anomalous, potentially malicious behaviours stand out as being different to these learned behaviours. The aim is to help manage and automatically configure application-level firewalls. This project is supported by a CASE studentship with British Telecommunications PLC and involves internships at BT Labs Adastral.
For details of application procedure, please see the Informatics Security and Privacy PhD page.
- The University of Edinburgh, led by Informatics Security and Privacy group, has recently become recognised as an Academic Centre of Excellence in Cyber Security Research by EPSRC and the NCSC.
- Informatics is the largest CS department in Europe and ranked by QS as in the top 20 worldwide.
- The City of Edinburgh is regularly voted as one of the top places in the UK to live, work and study.
To discuss this PhD position further, please contact David Aspinall.