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 Edinburgh Napier University, 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 25 publications in international journals, conferences and books, and his research has been cited over 400 times. 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". His research focuses on cybersecurity, distributed ledger technology, privacy-preserving machine learning, and related topics. His expertise has led him to found TrueDeploy, a venture funded from Scottish Enterprise and Innovate UK for its innovative technology developed from Pavlos' PhD research. 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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22 results

Evaluating Tooling and Methodology when Analysing Bitcoin Mixing Services After Forensic Seizure

Presentation / Conference
Young, E. H., Chrysoulas, C., Pitropakis, N., Papadopoulos, P., & Buchanan, W. J. (2021, October)
Evaluating Tooling and Methodology when Analysing Bitcoin Mixing Services After Forensic Seizure. Paper presented at International Conference on Data Analytics for Business and Industry (ICDABI) 2021 - (DATA'21), Online
Little or no research has been directed to analysis and researching forensic analysis of the Bitcoin mixing or 'tumbling' service themselves. This work is intended to examine ...

PyDentity: A playground for education and experimentation with the hyperledger verifiable information exchange platform

Journal Article
Abramson, W., Papadopoulos, P., Pitropakis, N., & Buchanan, W. J. (2021)
PyDentity: A playground for education and experimentation with the hyperledger verifiable information exchange platform. Software Impacts, 9, https://doi.org/10.1016/j.simpa.2021.100101
PyDentity lowers the entry barrier for parties interested in experimenting with the Hyperledger’s verifiable information exchange platform. It enables educators, developers an...

Practical defences against model inversion attacks for split neural networks

Presentation / Conference
Titcombe, T., Hall, A. J., Papadopoulos, P., & Romanini, D. (2021, May)
Practical defences against model inversion attacks for split neural networks. Paper presented at ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML 2021), Online
We describe a threat model under which a split network-based federated learning system is susceptible to a model inversion attack by a malicious computational server. We demon...

PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN

Presentation / Conference
Romanini, D., Hall, A. J., Papadopoulos, P., Titcombe, T., Ismail, A., Cebere, T., …Hoeh, M. A. (2021, May)
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN. Poster presented at ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML 2021), Online
We introduce PyVertical, a framework supporting vertical federated learning using split neural networks. The proposed framework allows a data scientist to train neural network...

Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT

Journal Article
Papadopoulos, P., Thornewill Von Essen, O., Pitropakis, N., Chrysoulas, C., Mylonas, A., & Buchanan, W. J. (2021)
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT. Journal of Cybersecurity and Privacy, 1(2), 252-273. https://doi.org/10.3390/jcp1020014
As the internet continues to be populated with new devices and emerging technologies, the attack surface grows exponentially. Technology is shifting towards a profit-driven In...

Privacy and Trust Redefined in Federated Machine Learning

Journal Article
Papadopoulos, P., Abramson, W., Hall, A. J., Pitropakis, N., & Buchanan, W. J. (2021)
Privacy and Trust Redefined in Federated Machine Learning. Machine Learning and Knowledge Extraction, 3(2), 333-356. https://doi.org/10.3390/make3020017
A common privacy issue in traditional machine learning is that data needs to be disclosed for the training procedures. In situations with highly sensitive data such as healthc...

Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach

Conference Proceeding
Christou, O., Pitropakis, N., Papadopoulos, P., Mckeown, S., & Buchanan, W. J. (2020)
Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach. In Proceedings of the 6th International Conference on Information Systems Security and Privacy. , (289-298). https://doi.org/10.5220/0008902202890298
Phishing is considered to be one of the most prevalent cyber-attacks because of its immense flexibility and alarmingly high success rate. Even with adequate training and high ...

Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning

Presentation / Conference
Angelou, N., Benaissa, A., Cebere, B., Clark, W., Hall, A. J., Hoeh, M. A., …Titcombe, T. (2020, December)
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning. Poster presented at NeurIPS 2020 Workshop on Privacy Preserving Machine Learning (PPML 2020), Online
We present a multi-language, cross-platform, open-source library for asymmetric private set intersection (PSI) and PSI-Cardinality (PSI-C). Our protocol combines traditional D...

Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing

Journal Article
Buchanan, W. J., Imran, M. A., Ur-Rehman, M., Zhang, L., Abbasi, Q. H., Chrysoulas, C., …Papadopoulos, P. (2020)
Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing. Frontiers in Communications and Networks, https://doi.org/10.3389/frcmn.2020.583376
The outbreak of viruses have necessitated contact tracing and infection tracking methods. Despite various efforts, there is currently no standard scheme for the tracing and tr...

A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric

Journal Article
Stamatellis, C., Papadopoulos, P., Pitropakis, N., Katsikas, S., & Buchanan, W. J. (2020)
A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric. Sensors, 20(22), https://doi.org/10.3390/s20226587
Electronic health record (EHR) management systems require the adoption of effective technologies when health information is being exchanged. Current management approaches ofte...

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