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Intrusion detection in the Internet of Things (EPSRC DTA)

  • Full or part time
  • Application Deadline
    Monday, February 25, 2019
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

Intrusion detection is the activity of detecting unauthorized access to computer systems or devices. An intrusion detection system (IDS) is a device or software application that monitors networks and/or systems for malicious activities or security policy violations.

Internet of Things (IoT) is a new paradigm that integrates the Internet and physical objects/devices belonging to different application domains, such as home automation, industrial process, healthcare, and environmental monitoring. In addition to many benefits, the appearance of Internet-connected devices also brings important security challenges, which need to be addressed. IDS techniques developed for traditional systems and networks are not necessarily suitable for IoT, due to its particular characteristics, such as resource-constrained devices, and specific protocol stacks and standards.

The objective of this project is to develop a novel approach to intrusion detection in IoT, based on machine learning and the emerging technologies of software-defined networking (SDN) and network functions virtualization (NFV). Particular emphasis will be given on collaborative and multi-stage intrusion detection.

The successful applicant is expected to have a good knowledge of network security and good analytical and programming skills. Previous experience with IoT security, machine learning, and SDN/NFV would be an assent but not strictly required.

Interested applicants are encouraged to contact the project supervisor Dr Vasileios Vasilakis at for further information.

Funding Notes

Applicants must meet the entrance requirements for a PhD in Computer Science, be eligible to pay home/EU fees and meet EPSRC funding eligibility requirements.

Successful candidates will be supported for three years. Funding includes:
£14,777 (2018/19 rate) per year stipend,
Home/EU tuition fees.

References

To be considered for this competitive funding:
1. Apply online for a full-time PhD in Computer Science (select the October 2019 start date).
2. Quote the project title (Intrusion detection in the Internet of Things) in your application.
3. Provide a personal statement of 500-1,000 words with your initial thoughts on the research topic. A formal research proposal is not required.

Related Subjects

How good is research at University of York in Computer Science and Informatics?

FTE Category A staff submitted: 34.80

Research output data provided by the Research Excellence Framework (REF)

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