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

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., …Buchanan, 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’s 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., …Tsolis, 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...

Ransomware: Analysing the Impact on Windows Active Directory Domain Services

Journal Article
McDonald, G., Papadopoulos, P., Pitropakis, N., Ahmad, J., & Buchanan, W. J. (2022)
Ransomware: Analysing the Impact on Windows Active Directory Domain Services. Sensors, 22(3), Article 953. https://doi.org/10.3390/s22030953
Ransomware has become an increasingly popular type of malware across the past decade and continues to rise in popularity due to its high profitability. Organisations and enter...

Decentralised Privacy: A Distributed Ledger Approach

Book Chapter
Papadopoulos, P., Pitropakis, N., & Buchanan, W. J. (2021)
Decentralised Privacy: A Distributed Ledger Approach. In C. Mustansar Hussain, & P. Di Sia (Eds.), Handbook of Smart Materials, Technologies, and Devices (1-26). Cham: Springer. https://doi.org/10.1007/978-3-030-58675-1_58-1
Our world due to the technological progress became fast-paced and is constantly evolving, thus changing every single day. Consequently, the most valuable asset on earth is not...

Browsers’ Private Mode: Is It What We Were Promised?

Journal Article
Hughes, K., Papadopoulos, P., Pitropakis, N., Smales, A., Ahmad, J., & Buchanan, W. J. (2021)
Browsers’ Private Mode: Is It What We Were Promised?. Computers, 10(12), Article 165. https://doi.org/10.3390/computers10120165
Web browsers are one of the most used applications on every computational device in our days. Hence, they play a pivotal role in any forensic investigation and help determine ...

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