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MRes Scholarship: Threat Intelligence for Industrial Process Control Systems in CNI

  • Full or part time
  • Application Deadline
    Sunday, January 27, 2019
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Here is an exciting opportunity to study a system and its associated technology which could lead to entirely new approaches in Command and Control Systems. The selected candidate will apply their skills and ambition to construction of an advanced prototype system that can perform The Application of Pattern of Life Analysis to the Problem of Early Intrusion and Threat Detection and Classification. This project will allow the student to develop transferable knowledge and skills in this most exciting and active field of networking and command and control research.

This Knowledge Economy Skills Scholarship (KESS) project will be held in the Faculty of Computing, Engineering and Science at the University of South Wales. KESS is a programme funded by the European Social Fund (ESF) awarded by the Welsh European Funding Office (WEFO) in the Welsh Government. The project will focus on validating the feasibility of conducting command and control over a SCADA system via a 5G network. This will be achieved via the construction of an advanced prototype system. This project is backed by THALES is a large multi-national national company with locations in Wales and the UK.

Programme of Research:

Current practice in Threat Intelligence focuses upon the analysis of open-source data feed such as Twitter and data mining on the Dark Web. The is a significant research challenge relating to data fusion of multi-factor and form data via the application of artificial intelligence techniques to provide predictive analysis and generate early warning indicators.

The project seeks to develop and validate a Threat Intelligence Model for Industrial Process Control Systems in CNI. In particular, the aims of this project are as follows:
• To develop a Threat Intelligence Model for CNI
• To validate that model through a series of case studies relating to Industrial Process Control Systems in CNI.
• Derive operational data sets from Thales reference systems
• Analyse and fuse multiple sources of data to develop a methodology and service process:
o Predict likely targets and vulnerabilities as well as the probability of success, impact and severity;
o Generate early warning of incipient attacks;
o Produce intelligence feed of latent vulnerabilities;
o Produce intelligence feed of mitigation strategies.

Studentship:
The studentship will cover the fees for a full-time MRes programme and pay a stipend of circa £11.5k p.a. There is also around £3k project support costs available for consumables, travel, minor equipment, training (including the KESS Grad School) and conference attendance.
The position is available from 1st April 2019.

Eligibility of Student:
To be eligible to hold a KESS studentship, you must:
• have a home address in East Wales area (details below)* at the time of registration.
• have the right to take up paid work in the East Wales area* on completion of the scholarship.
• be classified by the University as ‘home’ or ‘EU’ for tuition fees purposes according to the University’s guidelines.
• satisfy University of South Wales’s admissions criteria: see below, qualifications and experience and application process

* East Wales area covers: Vale of Glamorgan / Cardiff / Newport / Monmouthshire / Powys / Wrexham / Flintshire

Qualifications and experience:
Eligible applicants will:

• Have a degree (2i or higher) in an appropriate computer science discipline
• Possess a reasonable understanding of:
o Networks and networking and in particular mobile networks;
o Programming in languages such as JAVA, C++, C and Python;
o SCADA based industrial process control systems and Industrial IOT.
• Be highly self-motivated, with capacity to learn and develop new techniques in the area of Threat Intelligence for Industrial Process Control Systems in CNI
• Have well-developed and positively collaborative interpersonal skills
• Have an ability to deliver technical reports and communicate findings
• Be willing to travel and work in industrial / clinical / community support settings

Application Process:

To download an application package, please visit: http://gro.southwales.ac.uk/studentships/KESSII/participant/

For any queries on eligibility, please contact: KESS Team at Research and Innovation Services, University of South Wales: Tel: 01443 482578

For informal enquiries or further programme information, please contact: Professor Andrew Blyth ().

Closing date for applications: 27th January 2019
Interviews will be held w/c (TBC)

Funding Notes

Knowledge Economy Skills Scholarships (KESS) is a pan-Wales higher-level skills initiative led by Bangor University on behalf of the HE sector in Wales. It is part funded by the Welsh Government’s European Social Fund (ESF) programme for East Wales.

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