With the rapid proliferation of pervasive electronic devices in our lives, the internet of things (IoT) has become a reality and its influence on our day to day activities is set to further increase with a projected 125 Billion connected devices by the year of 2030. However, this poses serious security and privacy issues as we will no longer have direct control over with whom and what our devices communicate. Counterfeit, hacked, or cloned devices acting on a network can cause significant damage, in terms of both monetary costs as well as danger to life due to connected cyber-physical systems; or even taking down large swaths of the Internet by D-DoS attacks such as the attack on Dyn. In addition, IoT devices are often low-cost in area, low-power and typically are restricted in both memory and computing power. Therefore, a major challenge is how to address the need for security in such resource-constrained device. A Physical Unclonable Function (PUF) is a digital circuit that can extract a unique digital fingerprint from an electronic device based on the underlying inherent variability in the device’s manufacturing process. Hence, it can be used as a hardware root of trust for low cost embedded devices and in applications such as secure device identity, key generation, secure credential storage, verifiable boot, secure updating and tamper-proofing. PUF is now being considered for low-cost IoT devices as a lightweight alternative to Trusted Platform Modules (TPMs) and more generally, cryptographic algorithm implementations, which incur significant timing, energy and resource overhead. As PUFs can be used in key generation, they also overcome the security issues associated with storing secret keys in non-volatile memory, which is both expensive and vulnerable to physical side channel attacks. However, PUFs have been shown to be vulnerable to attack, and in particular machine learning (ML) based modelling attacks. To date, most PUF architectures based on linear and additive functions have been shown to be vulnerable to these forms of attack, for example, Logistic Regression (LR), Support Vector Machine (SVM), and Evolutionary strategy (ES) based ML methods are widely utilised to attack PUFs. This project will tackle the challenge through investigating the security requirements for modelling resistant PUF designs. Circuit level based modelling attack resistant PUF designs will be also investigated.
This project aims to develop and design machine learning attack resistant PUF designs for IoTs. The security requirements for modelling attack resistant PUF designs are expected to be investigated through mathematically analysis and entropy evaluation. General PUF metrics will be experimented and expected to achieve high quality results. It is expect to present a theoretical model for modelling attack resistant PUF designs.
The School of Electronics, Electrical Engineering and Computer Science (EEECS) aims to enhance the way we use technology in communication, data science, computing systems, cyber security, power electronics, intelligent control, and many related areas.
You’ll be part of a dynamic doctoral research environment and will study alongside students from
over 40 countries worldwide; we supervise students undertaking research in key areas of electronics and
electrical engineering, including: power electronics,robotics, wireless communications, cybersecurity and sensor-based systems. As part of a lively community of over 100 full-time and part-time research students you’ll have the opportunity to develop your research potential in a vibrant research community that prioritises the cross-fertilisation of ideas and innovation in the advancement of knowledge.
Within the School we have a number of specialist research centres including a Global Research Institute, the Institute of Electronics, Communications and Information Technology (ECIT) specialising in Cyber Security, Wireless and Data Science, and scalable computing.
Many PhD studentships attract scholarships and top-up supplements. Both the MPhil and PhD programmes provide our students with the opportunity to acquire an extensive training in research techniques.
Research students are encouraged to play a full and active role in relation to the wide range of research activities undertaken within the School and there are many resources available including:
Research within the School is organised into research themes.
ECIT brings together, in one building, internationally recognised research groups specialising in key areas of advanced digital and communications technology.
Electric Power and Energy Systems research is focused on problems related to distributed sources of energy and their integration into power networks. The cluster is a member of the IET Power Academy and is a major collaborator on all-island energy research.
SoCaM is dedicated to the design of advanced, integrated, high-speed wireless and couples activities in High Frequency Electronics, System-on-Chip, Signals and Systems and Digital Signal Processing, and for Gigabit/sec wireless.
PhD opportunities are available in a wide range of subjects in electronics and electrical engineering,
aligned to the specific expertise of our PhD supervisors.
Queen’s is a leader in commercial impact and one of the five highest performing universities in the UK
for intellectual property commercialisation. We have created over 80 spin-out companies. Three of these -
Kainos, Andor Technology and Fusion Antibodies - have been publicly listed on the London Stock Exchange.
Queen’s has strong collaborative links with industry in Northern Ireland, and internationally. It has a
strong funding track record with EPSRC and the EC H2020 programme.
The research profile produced by the 2014 UK Research Excellence Framework (REF) graded 80 per cent of our research activity as 'world-leading' or 'internationally excellent', confirming the School's reputation as an internationally-leading department.
For further information on career opportunities at PhD level please contact the Faculty of Engineering and Physical Sciences Student Recruitment Team on askEPS@qub.ac.uk. Our advisors - in consultation with the School - will be happy to provide further information on your research area, possible career prospects and your research application.
There is no specific course content as such. You are expected to take research training modules that are supported by the School which focus on quantitative and qualitative research methods. You are also expected to carry out your research under the guidance of your supervisor.
Over the course of study you can attend postgraduate skills training organised by the Graduate School.
You will normally register, in the first instance, as an ‘undifferentiated PhD student’ which means that you have satisfied staff that you are capable of undertaking a research degree.
The decision as to whether you should undertake an MPhil or a PhD is delayed until you have completed ‘differentiation’.
Differentiation takes place about 8-9 months after registration for full time students and about 16-18 months for part time students: You are normally asked to submit work to a panel of up two academics and this is followed up with a formal meeting with the ‘Differentiation Panel’. The Panel then make a judgement about your capacity to continue with your study. Sometimes students are advised to revise their research objectives or to consider submitting their work for an MPhil qualification rather than a doctoral qualification.
To complete with a doctoral qualification you will be required to submit a thesis of approx 80,000 words and you will be required to attend a viva voce [oral examination] with an external and internal examiner to defend your thesis.
A PhD programme runs for 3-4 years full-time or 6-8 years part-time. Students can apply for a writing up year should it be required.
The PhD is open to both full and part time candidates and is often a useful preparation for a career within academia or consultancy.
Full time students are often attracted to research degree programmes because they offer an opportunity to pursue in some depth an area of academic interest.
The part time research degree is an exciting option for professionals already working in the education field who are seeking to extend their knowledge on an issue of professional interest. Often part time candidates choose to research an area that is related to their professional responsibilities.
If you meet the Entry Requirements, the next step is to check whether we can supervise research in your chosen area. We only take students to whom we can offer expert research supervision from one of our academic staff. Therefore, your research question needs to engage with the research interests of one of our staff.
Assessment processes for the Research Degree differ from taught degrees. Students will be expected to present write up their work at regular intervals to their supervisor who will provide written and oral feedback; a formal assessment process takes place annually.
This Annual Progress Review requires students to present their work in writing and orally to a panel of academics from within the School. Successful completion of this process will allow students to register for the next academic year.
The final assessment of the doctoral degree is both oral and written. Students will submit their thesis to an internal and external examining team who will review the written thesis before inviting the student to orally defend their work at a Viva Voce.
Supervisors will offer feedback on the research work at regular intervals throughout the period of registration on the degree.
The minimum academic requirement for admission to a research degree programme is normally an Upper Second Class Honours degree from a UK or ROI HE provider, or an equivalent qualification acceptable to the University. Further information can be obtained by contacting the School.
For information on international qualification equivalents, please check the specific information for your country.
Evidence of an IELTS* score of 6.0, with not less than 5.5 in any component, or equivalent qualification acceptable to the University is required (*taken within the last 2 years).
International students wishing to apply to Queen's University Belfast (and for whom English is not their first language), must be able to demonstrate their proficiency in English in order to benefit fully from their course of study or research. Non-EEA nationals must also satisfy UK Visas and Immigration (UKVI) immigration requirements for English language for visa purposes.
For more information on English Language requirements for EEA and non-EEA nationals see: www.qub.ac.uk/EnglishLanguageReqs.
If you need to improve your English language skills before you enter this degree programme, INTO Queen's University Belfast offers a range of English language courses. These intensive and flexible courses are designed to improve your English ability for admission to this degree.
As a result of the COVID-19 pandemic, we will be offering Academic English and Pre-sessional courses online only from June to September 2020.
|Northern Ireland (NI)||£4,407|
|England, Scotland or Wales (GB)||£4,407|
|Other (non-UK) EU||£4,407|
Electrical & Electronic Engineering costs
There are no specific additional course costs associated with this programme.
Depending on the programme of study, there may also be other extra costs which are not covered by tuition fees, which students will need to consider when planning their studies . Students can borrow books and access online learning resources from any Queen's library. If students wish to purchase recommended texts, rather than borrow them from the University Library, prices per text can range from £30 to £100. Students should also budget between £30 to £100 per year for photocopying, memory sticks and printing charges. Students may wish to consider purchasing an electronic device; costs will vary depending on the specification of the model chosen. There are also additional charges for graduation ceremonies, and library fines. In undertaking a research project students may incur costs associated with transport and/or materials, and there will also be additional costs for printing and binding the thesis. There may also be individually tailored research project expenses and students should consult directly with the School for further information.
Find PhD opportunities and funded studentships by subject area.2.Doctoral Training Centres at Queen's
Queen's has eight outstanding competitive Doctoral Training Centres, with each one providing funding for a number of PhD positions and most importantly a hub for carrying out world class research in key disciplines.3.PhD loans
The Government offers doctoral loans of up to £26,445 for PhDs and equivalent postgraduate research programmes for English- or Welsh-resident UK and EU students, £10,000 for students in Scotland and up to £5,500 for Northern Ireland students.4.International Scholarships
Information on Postgraduate Research scholarships for international students.
The Funding & Scholarship Finder helps prospective and current students find funding to help cover costs towards a whole range of study related expenses.
If you're interested in a particular project, we suggest you contact the relevant academic before you apply, to introduce yourself and ask questions.
To find a potential supervisor aligned with your area of interest, or if you are unsure of who to contact, look through the staff profiles linked here.
You might be asked to provide a short outline of your proposal to help us identify potential supervisors.
Queen's University Belfast is committed to Equality, Diversity and Inclusion.
For more information please read our Equality and Diversity Policy.
Queen's University Belfast is registered with the Charity Commission for Northern Ireland NIC101788
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