141 citations · 513 across the 18 of their papers we have counts for
20 papers
Adversarial Robustness of Vision in Open Foundation Models
Jonathon Fox, William J Buchanan, Pavlos Papadopoulos
With the increase in deep learning, it becomes increasingly difficult to understand the model in which AI systems can identify objects. Thus, an adversary could aim to modify an im…
Comparative Analysis of Hash-based Malware Clustering via K-Means
Aink Acrie Soe Thein, Nikolaos Pitropakis, Pavlos Papadopoulos +2
With the adoption of multiple digital devices in everyday life, the cyber-attack surface has increased. Adversaries are continuously exploring new avenues to exploit them and deplo…
DID:RING: Ring Signatures using Decentralised Identifiers For Privacy-Aware Identity
Dimitrios Kasimatis, Sam Grierson, William J. Buchanan +5
Decentralised identifiers have become a standardised element of digital identity architecture, with supra-national organisations such as the European Union adopting them as a key c…
Towards The Creation Of The Future Fish Farm
Pavlos Papadopoulos, William J Buchanan, Sarwar Sayeed +1
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 past few deca…
Transforming EU Governance: The Digital Integration through EBSI and GLASS
Dimitrios Kasimatis, William J Buchanan, Mwarwan Abubakar +6
Traditionally, government systems managed citizen identities through disconnected data systems, using simple identifiers and paper-based processes, limiting digital trust and requi…
GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture
Owen Lo, William J. Buchanan, Sarwar Sayeed +3
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 evolutio…
Ransomware: Analysing the Impact on Windows Active Directory Domain Services
Grant McDonald, Pavlos Papadopoulos, Nikolaos Pitropakis +2
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 enterprise…
Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers
Hisham Ali, Pavlos Papadopoulos, Jawad Ahmad +3
Threat information sharing is considered as one of the proactive defensive approaches for enhancing the overall security of trusted partners. Trusted partner organizations can prov…
Evaluating Tooling and Methodology when Analysing Bitcoin Mixing Services After Forensic Seizure
Edward Henry Young, Christos Chrysoulas, Nikolaos Pitropakis +2
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 effec…
GLASS: Towards Secure and Decentralized eGovernance Services using IPFS
Christos Chrysoulas, Amanda Thomson, Nikolaos Pitropakis +7
The continuously advancing digitization has provided answers to the bureaucratic problems faced by eGovernance services. This innovation led them to an era of automation it has bro…
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT
Pavlos Papadopoulos, Oliver Thornewill von Essen, Nikolaos Pitropakis +3
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 Interne…
Practical Defences Against Model Inversion Attacks for Split Neural Networks
Tom Titcombe, Adam J. Hall, Pavlos Papadopoulos +1
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 demonstrat…
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN
Daniele Romanini, Adam James Hall, Pavlos Papadopoulos +6
We introduce PyVertical, a framework supporting vertical federated learning using split neural networks. The proposed framework allows a data scientist to train neural networks on…
Privacy and Trust Redefined in Federated Machine Learning
Pavlos Papadopoulos, Will Abramson, Adam J. Hall +2
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 healthcare r…
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning
Nick Angelou, Ayoub Benaissa, Bogdan Cebere +9
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 DDH-ba…
A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric
Charalampos Stamatellis, Pavlos Papadopoulos, Nikolaos Pitropakis +2
Electronic health record (EHR) management systems require the adoption of effective technologies when health information is being exchanged. Current management approaches often fac…
Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing
William J Buchanan, Muhammad Ali Imran, Masood Ur-Rehman +6
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 trackin…
Privacy Preserving Passive DNS
Pavlos Papadopoulos, Nikolaos Pitropakis, William J. Buchanan +2
The Domain Name System (DNS) was created to resolve the IP addresses of the web servers to easily remembered names. When it was initially created, security was not a major concern;…
A Distributed Trust Framework for Privacy-Preserving Machine Learning
Will Abramson, Adam James Hall, Pavlos Papadopoulos +2
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 betwe…
Phishing URL Detection Through Top-level Domain Analysis: A Descriptive Approach
Orestis Christou, Nikolaos Pitropakis, Pavlos Papadopoulos +2
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 situa…