Pavlos Papadopoulos

pavlos papadopoulos

Mr. Pavlos Papadopoulos

University Tutor

Biography

Pavlos received his bachelor's degree from the department of Digital Systems in 2016 at the University of Piraeus, Greece. He completed an MSc in Advanced Security and Digital Forensics in 2019 at Edinburgh Napier University and is currently a PhD Student in Privacy-Preserving Systems around Trust and Identity in the School of Computing at Edinburgh Napier University. Pavlos is a member of the Blockpass Identity Lab, and he is also involved in assisting lectures related to operating systems, network security, penetration testing, incident response and malware analysis. Pavlos participated in Diffusion Berlin hackathon with a team composed of Blockpass Identity Lab's students winning the "Identity and beyond with Hyperledger - Best Business Impact of Digital Credentials" and "Machine Learning in the Decentralised World" awards. His current research interests include cybersecurity, distributed ledger technology and privacy-preserving machine learning. Pavlos' research interest in distributed ledger technology focuses on the permissioned blockchain framework, Hyperledger Fabric. By utilising the privacy-preserving features of this technology, Pavlos published a number of journal papers related to the "Passive DNS analysis" and the "Healthcare" industry. Additionally, Pavlos is involved in the development of a private federated machine learning infrastructure on vertically distributed data (such as data for the same individuals split among different healthcare providers). Moreover, his recent publications include a phishing URL detection system, a distributed trust framework for privacy-preserving machine learning and a survey of privacy-preserving infection tracking and contact tracing infrastructures.

Research Areas

Date


8 results

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...

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 ...

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...

A Distributed Trust Framework for Privacy-Preserving Machine Learning

Conference Proceeding
Abramson, W., Hall, A. J., Papadopoulos, P., Pitropakis, N., & Buchanan, W. J. (2020)
A Distributed Trust Framework for Privacy-Preserving Machine Learning. In Trust, Privacy and Security in Digital Business. , (205-220). https://doi.org/10.1007/978-3-030-58986-8_14
When training a machine learning model, it is standard procedure for the researcher to have full knowledge of both the data and model. However, this engenders a lack of trust ...

Privacy-Preserving Passive DNS

Journal Article
Papadopoulos, P., Pitropakis, N., Buchanan, W. J., Lo, O., & Katsikas, S. (2020)
Privacy-Preserving Passive DNS. Computers, 9(3), https://doi.org/10.3390/computers9030064
The Domain Name System (DNS) was created to resolve the IP addresses of web servers to easily remembered names. When it was initially created, security was not a major concern...

Current Post Grad projects