• 14 Citations
  • 2 h-Index
20182019

Research output per year

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Personal profile

Biography

Andrew Tomlinson is currently a Postdoctoral Research Fellow at the Institute of Future Transport and Cities (IFTC) at Coventry University. Andrew’s research interests lie in methods and application of data science and anomaly detection, for example to determine cyber-attacks.

Andrew completed his PhD in Automotive Cybersecurity at Coventry University in 2019. Prior to working on his PhD, Andrew lectured in computing, leading the Information Technology course at the University of Gloucestershire. Andrew has also worked in computing across a range of industries, including banking, air transport, healthcare systems, and government data and telecoms. Andrew’s career started in epidemiology and medical research, which sparked his interest in data systems and data analytical methods.

Research Interests

Application of data analytics and machine learning, such as for automotive cybersecurity or medical research.

Vision Statement

Systems, such as cars, are increasingly reliant on processing and sharing data. As connectivity and autonomy increase, so does cyber vulnerability. Whilst strengthening systems against attack is important, so is the ability to detect attacks, including those that are novel and unpredictable. Andrew’s research into anomaly detection and classification methods seeks to provide a viable option for this.

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Research Output

  • 14 Citations
  • 2 h-Index
  • 4 Conference proceeding

Adding Cyberattacks To An Industry-Leading CAN Simulator

Hayward, J., Tomlinson, A. J. & Bryans, J., 7 Oct 2019, Proceedings - Companion of the 19th IEEE International Conference on Software Quality, Reliability and Security, QRS-C 2019. IEEE Computer Society, p. 9-16 8 p. 8859515

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Open Access
File
  • 31 Downloads (Pure)

    Detection of Automotive CAN Cyber-Attacks by Identifying Packet Timing Anomalies in Time Windows

    Tomlinson, A., Bryans, J., Shaikh, S. A. & Kalutarage, H. K., 23 Jul 2018, Proceedings - 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, DSN-W 2018. Luxembourg: IEEE, p. 231-238 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding

  • 9 Citations (Scopus)

    Towards Viable Intrusion Detection Methods For The Automotive Controller Area Network

    Tomlinson, A. J., Bryans, J. & Shaikh, S., 13 Sep 2018, 2nd Computer Science in Cars Symposium - Future Challenges in Artificial Intelligence Security for Autonomous Vehicles (CSCS 2018). ACM, 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding

  • Using A One-Class Compound Classifier To Detect In-Vehicle Network Attacks

    Tomlinson, A. J., Bryans, J. & Shaikh, S., 6 Jul 2018, Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM), p. 1926-1929 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding

    Open Access
    File
  • 5 Citations (Scopus)
    27 Downloads (Pure)