Professor Siraj Shaikh

Professor in Systems Security, Computer Science

s.a.shaikh@swansea.ac.uk

Office - 413
Fourth Floor
Computational Foundry
Bay Campus

Available For Postgraduate Supervision

Research Links

https://orcid.org/0000-0002-0726-3319

Google Scholar

ResearcherID

Scopus

About

Siraj Shaikh is a Professor in Systems Security at Swansea University (UK). His research interests lie at the intersection of cybersecurity, systems engineering and computer science addressing cyber-physical systems security for automotive and transport systems. He is also Co-Founder and Chief Scientist at CyberOwl, which is dedicated to risk analytics and security monitoring for the maritime sector.

Siraj is also currently a Visiting Professor in the Research Group on Security, Risks Management and Conflict (SEGERICO) at Nebrija University (Spain).

Previously, he has also held Royal Academy of Engineering’s Industry Fellowship hosted at HORIBA MIRA (2015-2016). His research has been funded by EPSRC, ESRC, Lloyds Register Foundation (LRF), DSTL, British Council and Royal Academy of Engineering (RAEng).

Siraj has been involved in research, development and evaluation of large-scale distributed secure systems for over twenty-two years. His doctoral and post-doctoral research involved design and verification of security and safety-critical systems.

Siraj has recently co-authored a book on Formal Methods for Software Engineering Languages, Methods, Application Domains published by Springer (2022).

Publications

Research Highlights

Taylor, S., Ahmad, F., Nguyen, H., & Shaikh, S. (2022). Vehicular Platoon Communication: Architecture, Security Threats and Open Challenges. Sensors, 23(1), 134
https://doi.org/10.3390/s23010134, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62213
Shaikh, S., Bush, V., & Schneider, S. (2009). Specifying authentication using signal events in CSP. Computers and Security, 28(5), 310-324.
https://doi.org/10.1016/j.cose.2008.10.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61051
Kirk, R., Nguyen, H., Bryans, J., Shaikh, S., & Wartnaby, C. (2023). A formal framework for security testing of automotive over-the-air update systems. Journal of Logical and Algebraic Methods in Programming, 130, 100812
https://doi.org/10.1016/j.jlamp.2022.100812, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61305
Nguyen, H., Payre, W., Perelló-March, J., Sabaliauskaite, G., Jadidbonab, H., Shaikh, S., & Birrell, S. (2022). How system failures and ransomwares affect drivers' trust and attitudes in an automated car? A simulator study. In AHFE International (pp. 453-460). AHFE International.
https://doi.org/10.54941/ahfe1002764, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61831
Payre, W., Perellomarch, J., Sabaliauskaite, G., Jadidbonab, H., Shaikh, S., Nguyen, H., & Birrell, S. (2022). Understanding drivers' trust after software malfunctions and cyber intrusions of digital displays in an automated car. In Human Factors in Transportation (pp. 320-328). AHFE International.
https://doi.org/10.54941/ahfe1002463, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61832
Bryans, J., Liew, L., Nguyen, H., Sabaliauskaite, G., Shaikh, S., & Zhou, F. (2020). A Template-Based Method for the Generation of Attack Trees. In Information Security Theory and Practice (pp. 155-165). Springer International Publishing.
https://doi.org/10.1007/978-3-030-41702-4_10, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61837
Shaikh, S. & Rabaiotti, J. (2010). Characteristic trade-offs in designing large-scale biometric-based identity management systems. Journal of Network and Computer Applications, 33(3), 342-351.
https://doi.org/10.1016/j.jnca.2009.12.015, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61050
Shaikh, S. (2011). Educational Attainment and Career Progression for British Muslim Women: Some Challenges and Opportunities. Journal of Muslim Minority Affairs, 31(1), 49-57.
https://doi.org/10.1080/13602004.2010.533458, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61049
Chivers, H., Clark, J., Nobles, P., Shaikh, S., & Chen, H. (2013). Knowing who to watch: Identifying attackers whose actions are hidden within false alarms and background noise. Information Systems Frontiers, 15(1), 17-34.
https://doi.org/10.1007/s10796-010-9268-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61048
Garcia-Perez, A., Shaikh, S., Kalutarage, H., & Jahantab, M. (2015). Towards a knowledge-based approach for effective decision-making in railway safety. Journal of Knowledge Management, 19(3), 641-659.
https://doi.org/10.1108/jkm-02-2015-0078, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61047

All Research

Journal Articles

Sabaliauskaite, G., Bryans, J., Jadidbonab, H., Ahmad, F., Shaikh, S., & Wooderson, P. (2024). TOMSAC - Methodology for trade-off management between automotive safety and cyber security. Computers and Security, 140, 103798
https://doi.org/10.1016/j.cose.2024.103798, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65797
Taylor, S., Ahmad, F., Nguyen, H., Shaikh, S., Bryans, J., & Wartnaby, C. (2023). A comparative analysis of multi‐criteria decision methods for secure beacon selection in vehicular platoons. Transactions on Emerging Telecommunications Technologies, 34(11)
https://doi.org/10.1002/ett.4841, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63997
http://dx.doi.org/10.1002/ett.4841
Bryans, J., Liew, L., Nguyen, H., Sabaliauskaite, G., & Shaikh, S. (2023). Formal Template-Based Generation of Attack–Defence Trees for Automated Security Analysis. information, 14(9)
https://doi.org/10.3390/info14090481, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64161
Parkin, S., Kuhn, K., & Shaikh, S. (2023). Executive decision-makers: a scenario-based approach to assessing organizational cyber-risk perception. Journal of Cybersecurity, 9(1)
https://doi.org/10.1093/cybsec/tyad018, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63958
http://dx.doi.org/10.1093/cybsec/tyad018
Kirk, R., Nguyen, H., Bryans, J., Shaikh, S., & Wartnaby, C. (2023). A formal framework for security testing of automotive over-the-air update systems. Journal of Logical and Algebraic Methods in Programming, 130, 100812
https://doi.org/10.1016/j.jlamp.2022.100812, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61305
Taylor, S., Ahmad, F., Nguyen, H., & Shaikh, S. (2022). Vehicular Platoon Communication: Architecture, Security Threats and Open Challenges. Sensors, 23(1), 134
https://doi.org/10.3390/s23010134, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62213
Tomlinson, A., Parkin, S., & Shaikh, S. (2022). Drivers and barriers for secure hardware adoption across ecosystem stakeholders. Journal of Cybersecurity, 8(1)
https://doi.org/10.1093/cybsec/tyac009, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61037
Mahmood, S., Nguyen, H., & Shaikh, S. (2022). Systematic threat assessment and security testing of automotive over-the-air (OTA) updates. Vehicular Communications, 35, 100468
https://doi.org/10.1016/j.vehcom.2022.100468, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61038
Kuhn, K., Bicakci, S., & Shaikh, S. (2021). COVID-19 digitization in maritime: understanding cyber risks. WMU Journal of Maritime Affairs, 20(2), 193-214.
https://doi.org/10.1007/s13437-021-00235-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61039
Tomlinson, A., Bryans, J., & Shaikh, S. (2021). Using internal context to detect automotive controller area network attacks. Computers & Electrical Engineering, 91, 107048
https://doi.org/10.1016/j.compeleceng.2021.107048, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61040
Bul'ajoul, W., James, A., & Shaikh, S. (2019). A New Architecture for Network Intrusion Detection and Prevention. IEEE Access, 7, 18558-18573.
https://doi.org/10.1109/access.2019.2895898, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61041
Cheah, M., Shaikh, S., Bryans, J., & Wooderson, P. (2018). Building an automotive security assurance case using systematic security evaluations. Computers and Security, 77, 360-379.
https://doi.org/10.1016/j.cose.2018.04.008, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61042
Kalutarage, H., Nguyen, H., & Shaikh, S. (2017). Towards a threat assessment framework for apps collusion. Telecommunication Systems, 66(3), 417-430.
https://doi.org/10.1007/s11235-017-0296-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61043
Cheah, M., Shaikh, S., Haas, O., & Ruddle, A. (2017). Towards a systematic security evaluation of the automotive Bluetooth interface. Vehicular Communications, 9, 8-18.
https://doi.org/10.1016/j.vehcom.2017.02.008, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61044
Shaikh, S. & Kalutarage, H. (2016). Effective network security monitoring: from attribution to target-centric monitoring. Telecommunication Systems, 62(1), 167-178.
https://doi.org/10.1007/s11235-015-0071-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61045
Kalutarage, H., Shaikh, S., Wickramasinghe, I., Zhou, Q., & James, A. (2015). Detecting stealthy attacks: Efficient monitoring of suspicious activities on computer networks. Computers & Electrical Engineering, 47, 327-344.
https://doi.org/10.1016/j.compeleceng.2015.07.007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61046
Garcia-Perez, A., Shaikh, S., Kalutarage, H., & Jahantab, M. (2015). Towards a knowledge-based approach for effective decision-making in railway safety. Journal of Knowledge Management, 19(3), 641-659.
https://doi.org/10.1108/jkm-02-2015-0078, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61047
Chivers, H., Clark, J., Nobles, P., Shaikh, S., & Chen, H. (2013). Knowing who to watch: Identifying attackers whose actions are hidden within false alarms and background noise. Information Systems Frontiers, 15(1), 17-34.
https://doi.org/10.1007/s10796-010-9268-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61048
Shaikh, S. (2011). Educational Attainment and Career Progression for British Muslim Women: Some Challenges and Opportunities. Journal of Muslim Minority Affairs, 31(1), 49-57.
https://doi.org/10.1080/13602004.2010.533458, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61049
Shaikh, S. & Rabaiotti, J. (2010). Characteristic trade-offs in designing large-scale biometric-based identity management systems. Journal of Network and Computer Applications, 33(3), 342-351.
https://doi.org/10.1016/j.jnca.2009.12.015, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61050
Shaikh, S., Bush, V., & Schneider, S. (2009). Specifying authentication using signal events in CSP. Computers and Security, 28(5), 310-324.
https://doi.org/10.1016/j.cose.2008.10.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61051

Conference Contributions

Nguyen, H., Payre, W., Perelló-March, J., Sabaliauskaite, G., Jadidbonab, H., Shaikh, S., & Birrell, S. (2022). How system failures and ransomwares affect drivers' trust and attitudes in an automated car? A simulator study. In AHFE International (pp. 453-460). AHFE International.
https://doi.org/10.54941/ahfe1002764, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61831
Payre, W., Perellomarch, J., Sabaliauskaite, G., Jadidbonab, H., Shaikh, S., Nguyen, H., & Birrell, S. (2022). Understanding drivers' trust after software malfunctions and cyber intrusions of digital displays in an automated car. In Human Factors in Transportation (pp. 320-328). AHFE International.
https://doi.org/10.54941/ahfe1002463, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61832
Bryans, J., Liew, L., Nguyen, H., Sabaliauskaite, G., Shaikh, S., & Zhou, F. (2020). A Template-Based Method for the Generation of Attack Trees. In Information Security Theory and Practice (pp. 155-165). Springer International Publishing.
https://doi.org/10.1007/978-3-030-41702-4_10, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61837

Supervision

Model-Based Security Testing for Hardware Fault Injection (current)

PhD

Other supervisor: Dr Hoang Nguyen
Artificial intelligence driven biomedical systems (current)

PhD

Other supervisor: Prof Jiaxiang Zhang
Increasing the probability of detecting and understanding cyber threats to connected autonomous vehicles (current)

PhD

Other supervisor: Dr Giedre Sabaliauskaite

Taught Modules

CSC368 Embedded System Design

Embedded systems are information processing systems embedded into enclosing products such as cars, telecommunication or fabrication equipment. They are essential for providing ubiquitous information, one of the key goals of modern information technology. The aim of this module is to provide an overview of embedded system design, to relate the most important topics in embedded system design to each other, and to obtain an appreciation of the model-based approach to embedded systems design. The lab provides hands-on experience in the design of embedded systems. Due to the labs' hardware requirements, the number of places available for this module is limited.
CSCM38 Advanced Topics: Artificial Intelligence and Cyber Security

This module introduces students to the state-of-the-art methods and research topics of artificial intelligence, cyber security, including quantum computing, data science, deep learning and reinforcement learning. The inspiration behind these approaches will be discussed, along with their relative merits for application in cyber security.
CSCM68 Embedded System Design

Embedded systems are information processing systems embedded into enclosing products such as cars, telecommunication or fabrication equipment. They are essential for providing ubiquitous information, one of the key goals of modern information technology. The aim of this module is to provide an overview of embedded system design, to relate the most important topics in embedded system design to each other, and to obtain an appreciation of the model based approach to embedded systems design. The lab provides hands-on experience in the design of embedded systems. Due to the labs' hardware requirements, the number of places available for this module is limited. Places will be allocated during the first week of teaching; the allocation criteria will be announced in the first lecture.

Public Engagements

TEDx Talk title: A New Narrative for Cybersecurity, TEDx Coventry University

Key Grants and Projects

Building REconfigurable, Agile, SeCure, and TrustwOrthy Systems for OpeNness in 5G (Beacon-5G) 2022 - 2023

Funded by DCMS (Future RAN: Diversifying the 5G Supply Chain) Toshiba (Lead), Thales, Swansea University, Attocore, South Gloucestershire Council, Coventry University Consortium Budget: £3.1 Million / Consortium Funding: £1.56 Million , with Co-I: Giedre Sabaliauskaite, £238K
Sunderland Advanced Mobility Shuttle (SAMS) 2024 - 2025

Funded by InnovateUK (Commercialising Connected and Automated Mobility: Deployments) Sunderland City Council (Lead), Swansea University, Newcastle University, BAI Communications, Angoka, Aurrigo Consortium Budget: £5.51 Million / Consortium Funding: £2.99 , with Co-I: Giedre Sabaliauskaite, Hoang Nga Nguyen, £322K
5G Connected and Autonomous Logistics 2 (5GCAL2) 2024 - 2025

Funded by InnovateUK (Commercialising Connected and Automated Mobility: Deployments) NEAA (Lead), Nokia, StreetDrone, BP, Swansea University, Angoka, Vantec, Womble Bond Dickinson LLP Consortium Budget: £8.09 Million / Consortium Funding: £4.03 Million , with Co-I: Giedre Sabaliauskaite, Hoang Nga Nguyen, £191K

Professor Siraj Shaikh

Email address

LinkedIn Account

Research Links

About

Publications

Research Highlights

All Research

Journal Articles

Conference Contributions

Supervision

Model-Based Security Testing for Hardware Fault Injection (current)

Artificial intelligence driven biomedical systems (current)

Increasing the probability of detecting and understanding cyber threats to connected autonomous vehicles (current)

Taught Modules

CSC368 Embedded System Design

CSCM38 Advanced Topics: Artificial Intelligence and Cyber Security

CSCM68 Embedded System Design

Public Engagements

Key Grants and Projects

Building REconfigurable, Agile, SeCure, and TrustwOrthy Systems for OpeNness in 5G (Beacon-5G) 2022 - 2023

Sunderland Advanced Mobility Shuttle (SAMS) 2024 - 2025

5G Connected and Autonomous Logistics 2 (5GCAL2) 2024 - 2025