78 citations · 167 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
Class Feature Pyramids for Video Explanation
Alexandros Stergiou, Georgios Kapidis, Grigorios Kalliatakis +3
Deep convolutional networks are widely used in video action recognition. 3D convolutions are one prominent approach to deal with the additional time dimension. While 3D convolution…
Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions
Alexandros Stergiou, Georgios Kapidis, Grigorios Kalliatakis +3
Deep learning approaches have been established as the main methodology for video classification and recognition. Recently, 3-dimensional convolutions have been used to achieve stat…