Nick Pitropakis

nick pitropakis

Dr Nick Pitropakis

Lecturer

Biography

Dr Nick Pitropakis is a lecturer in the School of Computing at Edinburgh Napier University, and a Fellow of the HEA. He is a core member of the Blockpass Identity Lab. Dr. Pitropakis has a strong research background in human factors in cyber security. His current research interests include trust and privacy using distributed ledger technology, adversarial machine learning, advanced cyber attack attribution, data science applied on cyber security and IoT devices security.
Dr. Pitropakis has participated in research projects such as the SPAGOS, ESPA2007-2013 Researcher Secure & Privacy-Aware eGovernment Services funded by the European Commision and Methods for producing standardized and transparent attribution that overcomes concerns about credibility and helps hold actors accountable for malicious activity funded by the US department of Defence. Prior to joining ENU in 2016, he has worked as Postdoctoral Researcher for Georgia Institute of Technology, where he was involved in a U.S. Department of Defense project (Methods for producing standardized and transparent attribution that overcomes concerns about credibility and helps hold actors accountable for malicious activity) worth of 17.3 million dollars aiming at advanced attribution of malicious parties. His task was to study the combosquatting phenomenon (in which attackers register domains that combine a popular trademark with one or more phrases) over time and prove its importance. His work has impacted major trademark holders and especially average users, whose awareness was increased against the combosquatting abuse.
His recent work has included a £787,597 project in Cryptography and Privacy.
Dr. Pitropakis has established synergies around the UK with other centers of excellence in cyber security like Royal Holloway and the University of Surrey, where he has been invited as guest speaker. Additionally, he and Professor Bill Buchanan have been working international partners such as the Norwegian University of Science and Technology, the University of Piraeus, and the University of Oslo.
Based on the outcomes of these projects, Dr Pitropakis has published 20 quality scholarly articles. His most recent research achievements have been published in several highly cited Elsevier and Springer journals as well as Tier 1 international conferences. Dr Pitropakis has also been invited to serve as an organizing and program committee member of major international conferences and a reviewer for prestigious journals.
In addition, Dr Pitropakis has been involved in supervising Research Master and PhD students since he accomplished his PhD in 2015. Currently, Dr Pitropakis is supervising 2 PhD students, and their research activities are being disseminated in high quality conferences and journals.

Research Areas

Events

Date


31 results

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...

A Comparative Analysis of Honeypots on Different Cloud Platforms

Journal Article
Kelly, C., Pitropakis, N., Mylonas, A., McKeown, S., & Buchanan, W. J. (2021)
A Comparative Analysis of Honeypots on Different Cloud Platforms. Sensors, 21(7), https://doi.org/10.3390/s21072433
In 2019, the majority of companies used at least one cloud computing service and it is expected that by the end of 2021, cloud data centres will process 94% of workloads. The ...

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...

Privacy-preserving Surveillance Methods using Homomorphic Encryption

Conference Proceeding
Bowditch, W., Abramson, W., Buchanan, W. J., Pitropakis, N., & Hall, A. J. (2020)
Privacy-preserving Surveillance Methods using Homomorphic Encryption. In ICISSP: Proceedings of the 6th International Conference on Information Systems Security and Privacy. , (240-248). https://doi.org/10.5220/0008864902400248
Data analysis and machine learning methods often involve the processing of cleartext data, and where this could breach the rights to privacy. Increasingly, we must use encrypt...

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 ...

A Traffic Analysis on Serverless Computing Based on the Example of a File Upload Stream on AWS Lambda

Journal Article
Muller, L., Chrysoulas, C., Pitropakis, N., & Barclay, P. J. (2020)
A Traffic Analysis on Serverless Computing Based on the Example of a File Upload Stream on AWS Lambda. Big Data and Cognitive Computing, 4(4), https://doi.org/10.3390/bdcc4040038
The shift towards microservisation which can be observed in recent developments of the cloud landscape for applications has led towards the emergence of the Function as a Serv...

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...

Cloud Security, Privacy and Trust Baselines

Book Chapter
Pitropakis, N., Katsikas, S., & Lambrinoudakis, C. (2020)
Cloud Security, Privacy and Trust Baselines. In J. R. Vacca (Ed.), Cloud Computing Security: Foundations and Challenges. Boca Raton, US: CRC Press (Taylor and Francis Group). https://doi.org/10.1201/9780429055126
Cloud services vary from data storage and processing to software provision, posing requirements for high availability and on-demand commitment-free provision of services. Clou...

Exploring Adversarial Attacks and Defences for Fake Twitter Account Detection

Journal Article
Kantartopoulos, P., Pitropakis, N., Mylonas, A., & Kylilis, N. (2020)
Exploring Adversarial Attacks and Defences for Fake Twitter Account Detection. Technologies, 8(4), https://doi.org/10.3390/technologies8040064
Social media has become very popular and important in people’s lives, as personal ideas, beliefs and opinions are expressed and shared through them. Unfortunately, social netw...

Current Post Grad projects