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


20 results

Testing And Hardening IoT Devices Against the Mirai Botnet

Conference Proceeding
Kelly, C., Pitropakis, N., McKeown, S., & Lambrinoudakis, C. (in press)
Testing And Hardening IoT Devices Against the Mirai Botnet
A large majority of cheap Internet of Things (IoT) devices that arrive brand new, and are configured with out-of-the-box settings, are not being properly secured by the manufa...

A Distributed Trust Framework for Privacy-Preserving Machine Learning

Conference Proceeding
Abramson, W., Hall, A. J., Papadopoulos, P., Pitropakis, N., & Buchanan, W. J. (in press)
A Distributed Trust Framework for Privacy-Preserving Machine Learning
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 Surveillance Methods using Homomorphic Encryption

Conference Proceeding
Bowditch, W., Abramson, W., Buchanan, W. J., Pitropakis, N., & Hall, A. J. (in press)
Privacy-preserving Surveillance Methods using Homomorphic Encryption
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. (in press)
Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach
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 Taxonomy and Survey of Attacks Against Machine Learning

Journal Article
Pitropakis, N., Panaousis, E., Giannetsos, T., Anastasiadis, E., & Loukas, G. (2019)
A Taxonomy and Survey of Attacks Against Machine Learning. Computer Science Review, 34, https://doi.org/10.1016/j.cosrev.2019.100199
The majority of machine learning methodologies operate with the assumption that their environment is benign. However, this assumption does not always hold, as it is often adva...

Towards The Creation of A Threat Intelligence Framework for Maritime Infrastructures

Conference Proceeding
Pitropakis, N., Logothetis, M., Andrienko, G., Karapistoli, I., Stephanatos, J., & Lambrinoudakis, C. (in press)
Towards The Creation of A Threat Intelligence Framework for Maritime Infrastructures
The maritime ecosystem has undergone through changes due to the increasing use of information systems and smart devices. The newly introduced technologies give rise to new att...

Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier

Conference Proceeding
Hall, A. J., Pitropakis, N., Buchanan, W. J., & Moradpoor, N. (2019)
Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier. In 2018 IEEE International Conference on Big Data (Big Data)https://doi.org/10.1109/BigData.2018.8621922
Insider threats continue to present a major challenge for the information security community. Despite constant research taking place in this area; a substantial gap still exis...

An Enhanced Cyber Attack Attribution Framework

Conference Proceeding
Pitropakis, N., Panaousis, E., Giannakoulias, A., Kalpakis, G., Rodriguez, R. D., & Sarigiannidis, P. (2018)
An Enhanced Cyber Attack Attribution Framework. In S. Furnell, H. Mouratidis, & G. Pernul (Eds.), Trust, Privacy and Security in Digital Business. TrustBus 2018, 213-228. https://doi.org/10.1007/978-3-319-98385-1_15
Advanced Persistent Threats (APTs) are considered as the threats that are the most challenging to detect and defend against. As APTs use sophisticated attack methods, cyber si...

Towards a Security Enabled and SOA-based QoS (for the Smart Grid) Architecture

Journal Article
Chrysoulas, C., & Pitropakis, N. (2018)
Towards a Security Enabled and SOA-based QoS (for the Smart Grid) Architecture. EAI Endorsed Transactions on Ambient Systems, 4(12), 153551. https://doi.org/10.4108/eai.10-1-2018.153551
QoS and Security features are playing an important role in modern network architecures. Dynamic selection of services and by extension of service providers are vital in today’...

Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse

Conference Proceeding
Kintis, P., Miramirkhani, N., Lever, C., Chen, Y., Romero-Gómez, R., Pitropakis, N., …Antonakakis, M. (2017)
Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse. In CCS '17 Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Securitydoi:10.1145/3133956.3134002
Domain squatting is a common adversarial practice where attackers register domain names that are purposefully similar to popular domains. In this work, we study a specific typ...

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