Pavlos Papadopoulos
pavlos papadopoulos

Dr Pavlos Papadopoulos

Lecturer

 0131 455 4775

  P.Papadopoulos@napier.ac.uk

  

Biography

Dr Pavlos Papadopoulos is a lecturer of cybersecurity at 麻豆社区, where he received his PhD in Privacy-Preserving Systems around Security, Trust and Identity in 2022, and an MSc in Advanced Security and Digital Forensics in 2019. He also holds a Bachelor's Degree in Digital Systems from the University of Piraeus, Greece. Pavlos is an Associate Fellow of the Higher Education Academy (AFHEA), and a member of the Blockpass Identity Lab (BIL). Pavlos has over 30 publications in international journals, conferences and books, and his research has been cited over 820 times. His research focuses on cybersecurity, distributed ledger technology, privacy-preserving machine learning, and related topics. In 2019, he and a team of PhD students from BIL won awards at the Diffusion Berlin hackathon for their work on "Identity and beyond with Hyperledger" and "Machine Learning in the Decentralized World". Additionally, Pavlos received the "Outstanding Young Person in Cyber" award at the Scottish Cyber Awards 2022. His expertise has led him to found TrueDeploy, a venture funded by Scottish Enterprise, Innovate UK, and the Royal Academy of Engineering for its innovative technology developed from Pavlos' PhD research which received the "Start Up of the Year" award at the Scottish Cyber Awards 2025. Pavlos has also been involved in teaching courses related to AWS and cloud concepts, operating systems, network security, penetration testing, incident response, and malware analysis.

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Fellowships and Awards

  • TrueDeploy nominated for the "Cyber Innovation Award" at Scottish Cyber Awards 2025
  • Winner (TrueDeploy) of the "Cyber Start-Up of the Year" award at Scottish Cyber Awards 2025
  • TrueDeploy nominated for the "RegTech Innovation" award at Scottish Financial Technology Awards 2024
  • Enterprise Fellowship (Royal Academy of Engineering)
  • TrueDeploy nominated for the "Best New Start-Up" award at Scottish Cyber Awards 2023
  • MDPI Computers Journal Cover: Kalutharage, C. S., Liu, X., Chrysoulas, C., Pitropakis, N., & Papadopoulos, P. (2023). Explainable AI-based DDOS attack identification method for IoT networks. Computers, 12(2), 32.

 

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Towards a Secure Manufacturing Framework for Single Malt Whisky in Industry 4.0

Book Chapter
Connell, J., Kasimatis, D., Papadopoulos, P., Buchanan, W. J., Sarigiannidis, P., & Pitropakis, N. (2025)
Towards a Secure Manufacturing Framework for Single Malt Whisky in Industry 4.0. In Proceedings of the International Conference on Cybersecurity, Situational Awareness and Social Media (349-365). Springer. https://doi.org/10.1007/978-981-96-0401-2_19
Recent instances have brought to light the inherent vulnerability of the manufacturing sector to cyber security threats, particularly within the food and beverage industries. ...

Transforming EU Governance: The Digital Integration Through EBSI and聽GLASS

Presentation / Conference Contribution
Kasimatis, D., Buchanan, W. J., Abubakar, M., Lo, O., Chrysoulas, C., Pitropakis, N., Papadopoulos, P., Sayeed, S., & Sel, M. (2024, June)
Transforming EU Governance: The Digital Integration Through EBSI and聽GLASS. Presented at 39th IFIP International Conference, Edinburgh, UK
Traditionally, government systems managed citizen identities through disconnected data systems, using simple identifiers and paper-based processes, limiting digital trust and ...

Explainable AI-Based DDOS Attack Identification Method for IoT Networks

Journal Article
Kalutharage, C. S., Liu, X., Chrysoulas, C., Pitropakis, N., & Papadopoulos, P. (2023)
Explainable AI-Based DDOS Attack Identification Method for IoT Networks. Computers, 12(2), Article 32. https://doi.org/10.3390/computers12020032
The modern digitized world is mainly dependent on online services. The availability of online systems continues to be seriously challenged by distributed denial of service (DD...

Towards The Creation Of The Future Fish Farm

Journal Article
Papadopoulos, P., Buchanan, W. J., Sayeed, S., & Pitropakis, N. (2023)
Towards The Creation Of The Future Fish Farm. Journal of Surveillance, Security and Safety, 4, 1-3. https://doi.org/10.20517/jsss.2022.16
Aim: A fish farm is an area where fish raise and bred for food. Fish farm environments support the care and management of seafood within a controlled environment. Over the pas...

Investigating Machine Learning Attacks on Financial Time Series Models

Journal Article
Gallagher, M., Pitropakis, N., Chrysoulas, C., Papadopoulos, P., Mylonas, A., & Katsikas, S. (2022)
Investigating Machine Learning Attacks on Financial Time Series Models. Computers and Security, 123, https://doi.org/10.1016/j.cose.2022.102933
Machine learning and Artificial Intelligence (AI) already support human decision-making and complement professional roles, and are expected in the future to be sufficiently tr...

Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform

Journal Article
Ali, H., Ahmad, J., Jaroucheh, Z., Papadopoulos, P., Pitropakis, N., Lo, O., 鈥uchanan, W. J. (2022)
Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform. Entropy, 24(10), Article 1379. https://doi.org/10.3390/e24101379
Historically, threat information sharing has relied on manual modelling and centralised network systems, which can be inefficient, insecure, and prone to errors. Alternatively...

GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture

Journal Article
Lo, O., Buchanan, W., Sayeed, S., Papadopoulos, P., Pitropakis, N., & Chrysoulas, C. (2022)
GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture. Sensors, 22(6), Article 2291. https://doi.org/10.3390/s22062291
E-governance is a process that aims to enhance a government鈥檚 ability to simplify all the processes that may involve government, citizens, businesses, and so on. The rapid evo...

Min-max Training: Adversarially Robust Learning Models for Network Intrusion Detection Systems

Conference Proceeding
Grierson, S., Thomson, C., Papadopoulos, P., & Buchanan, B. (2022)
Min-max Training: Adversarially Robust Learning Models for Network Intrusion Detection Systems. In 2021 14th International Conference on Security of Information and Networks (SIN). https://doi.org/10.1109/sin54109.2021.9699157
Intrusion detection systems are integral to the security of networked systems for detecting malicious or anomalous network traffic. As traditional approaches are becoming less...

Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers

Conference Proceeding
Ali, H., Papadopoulos, P., Ahmad, J., Pit, N., Jaroucheh, Z., & Buchanan, W. J. (2022)
Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers. In IEEE SINCONF: 14th International Conference on Security of Information and Networks. https://doi.org/10.1109/SIN54109.2021.9699366
Threat information sharing is considered as one of the proactive defensive approaches for enhancing the overall security of trusted partners. Trusted partner organizations can...

GLASS: Towards Secure and Decentralized eGovernance Services using IPFS

Conference Proceeding
Chrysoulas, C., Thomson, A., Pitropakis, N., Papadopoulos, P., Lo, O., Buchanan, W. J., 鈥solis, D. (2022)
GLASS: Towards Secure and Decentralized eGovernance Services using IPFS. In Computer Security. ESORICS 2021 International Workshops. https://doi.org/10.1007/978-3-030-95484-0_3
The continuously advancing digitization has provided answers to the bureaucratic problems faced by eGovernance services. This innovation led them to an era of automation, broa...

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