Funding

Self-funded

Project code

COMP6371025

Department

School of Mathematics and Physics, School of Computing

Start dates

October, February and April

Application deadline

Applications accepted all year round

Applications are invited for a self-funded, 3 year full-time or 6 year part-time PhD project.

The PhD will be based in the School of Computing and will be supervised by Dr Farzad Arabikhan, Dr Rahim Taheri and Professor Djamila Ouelhadj.

The work on this project could involve:

  • Implementing cutting-edge cybersecurity frameworks tailored to the unique challenges of modern transportation networks.
  • Exploring the potential of leveraging IoT devices for enhanced transportation security while addressing associated security challenges.    
  • Evaluating the effectiveness of network segmentation in enhancing both performance and security within transportation infrastructures.

Context

The increasing reliance on interconnected digital systems in the transportation industry has given rise to unprecedented challenges and vulnerabilities. This project aims to address these critical issues by implementing cutting-edge cybersecurity frameworks specifically tailored to the unique challenges posed by modern transportation networks. The project will focus on the development and implementation of state-of-the-art cybersecurity frameworks designed to meet the dynamic and complex demands of modern transportation networks. This includes robust measures to protect against evolving cyber threats and vulnerabilities. 

In this project, by exploring the potential of leveraging Internet of Things (IoT) devices, the Ph.D student will investigate how these devices can be strategically employed to enhance transportation security. Simultaneously, the project will address the associated security challenges posed by the integration of IoT devices in the transportation ecosystem. The project will evaluate the effectiveness of network segmentation in the transportation infrastructure. By analyzing the performance and security implications of network segmentation, the research aims to provide valuable insights into optimizing these strategies for enhanced cybersecurity in transportation systems.

Funding

Visit the research subject area page for fees and funding information for this project.

Funding availability: Self-funded PhD students only. 

PhD full-time and part-time courses are eligible for the (conditions apply).

Bench fees

Some PhD projects may include additional fees – known as bench fees – for equipment and other consumables, and these will be added to your standard tuition fee. Speak to the supervisory team during your interview about any additional fees you may have to pay. Please note, bench fees are not eligible for discounts and are non-refundable.

Entry requirements

The entry requirements for a PhD or MPhil include an upper second class honours degree or equivalent in a relevant subject or a master's degree in an appropriate subject. Exceptionally, equivalent professional experience and/or qualifications will be considered. All applicants are subject to interview.

If English is not your first language, you'll need English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0.

If you don't meet the English language requirements yet, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.

 

 

 

 

We are seeking a highly motivated and qualified Ph.D. candidate. A strong background in Engineering is necessary for candidates, and those with a background in computer science, particularly with a focus on Civil and Transportation, or candidates with a background in Civil and Transportation Engineering and expertise in computer science, are preferable. The ideal candidate should possess the following qualifications and skills:

  • Programming Skills: Proficiency in programming languages relevant to cybersecurity research, such as Python, Java, or C/C++, and a strong understanding of cybersecurity tools and technologies.
  • IoT Knowledge: Familiarity with Internet of Things (IoT) technologies and protocols, as well as experience in designing and implementing security solutions for IoT devices.
  • Network Security Expertise: A solid understanding of network security principles, including hands-on experience with evaluating and implementing network segmentation strategies.

 

How to apply

We’d encourage you to contact Dr Farzad Arabikhan (farzad.arabikhan@port.ac.uk) to discuss your interest before you apply, quoting the project code.

When you are ready to apply, please follow the 'Apply now' link on the Computing PhD subject area page and select the link for the relevant intake. Make sure you submit a personal statement, proof of your degrees and grades, details of two referees, proof of your English language proficiency and an up-to-date CV.  Our ‘How to Apply’ page offers further guidance on the PhD application process. 

When applying please quote project code: COMP6371025