Fully Funded Ph.D. on Deep Learning Intrusion Detection System for the Internet of Things
Abertay University Abertay University, in Dundee, Scotland, is a modern university with a global outlook, rooted in its local and national communities. In 2013 we marked the 125th anniversary of our foundation as an institution dedicated to supporting science, industry and the professions with a distinctive interdisciplinary and multi-disciplinary approach to teaching, research and knowledge exchange. Abertay University is home of undergraduate and postgraduate degree programmes in games, digital arts, cybersecurity and applied computer science. Abertay was the first university in the world to offer degrees Ethical Hacking, and the University continues to be recognised as an international leader in its field. The University has long-established professional links with the United Kingdom thriving cybersecurity community. Abertay University is also home to the largest Student run Cyber-Security Conference in the United-Kingdom.
Project Description The Internet of Things (IoT) is expected to become a transformative technology that offers end-users the capability of sensing, actuating and improved communications. By 2020, 50 billions objects are expected to be connected, collect and exchange data. This will lead to significant improvements for Vehicular technologies, Health, Manufacturing (Industry 3.0), Farming, Energy Management, etc.
Computational intelligence approaches, examples of which include evolutionary computation, immune-inspired approaches, and swarm intelligence, are employed to develop scalable machine learning Intrusion Detection Systems.
In this project we will build and expand on existing research activities on Intrusion Detection within the Security Research Group and the Machine Learning Group at Abertay University and would aim to identify security risks in IoT networks and develop a machine learning (Deep Learning, Generative Adversarial Networks) methods for their mitigation.
In this project we will collaborate with Middlesex University (Mauritius Campus). The project is aimed at solving real world problems for the student to gain experience working with industry.
This PhD studentship provides a package valued at around £75,000. This includes a fully funded tax free stipend of £14,296 per year over 3 and a half years, and tuition fees, travel and equipment.
Abertay’s PhD students are located in the Abertay Graduate School ( here) and have access to our dedicated study and social spaces – a forum in which you can meet, work and learn with other researchers and postgraduates from across the University. We provide training and professional development opportunities to our postgraduate community, and offer help with funding applications, placement opportunities, teaching support, public engagement and outreach activity.
You will be expected to undertake limited teaching duties of no more than 70 hours a year, typically providing support to academic staff in computing laboratories. We provide training on this activity and it is a valuable part of career development.
The ideal student would have an interest in Wireless communications protocols, Linux configuration, and GPU Programming (CUDA) as well as
- A strong background in computing and mathematics (an understanding of machine learning is highly desirable).
- An ability to programme in a high-level computing language (such as Python, C or C++) and/or experience with Matlab (or similar).
- An interest in Security and Privacy applications and research (a background in Security is desirable, but not essential).
- Good numerical and verbal communication skills.
Entry requirements A related Masters level qualification is desirable but not essential, but candidates must have, or expect to obtain a first class or upper second-class honours degree in a relevant discipline as detailed above. Applicants who are non-native speakers of English, the University requires IELTS of 6.5 (with no band less than 6.5) or an equivalent qualification accepted by the Home Office.
The Studentships are available for an October 2017 start for a period of up to 3.5 years.
The opening date for submission is 0800 on Monday 10 of June -- The closing date for submissions is 0800 on Monday 10 July 2017. Submissions after this date will not be considered. Interviews are likely to be held during the weeks 31 July – 11 August 2017.
Applicants should submit through HIREWIRE submitting a personal statement of application detailing why you are interested in undertaking this project and a CV. (NOTE: Hirewire Only Allows you to submit one document, please merge your supporting documents and send a copy to x.bellekens [AT] abertay.ac.uk ).