activity
20192022
most citedLaunching Adversarial Attacks against Network Intrusion Detection Systems for IoT

78 citations · 121 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CR202227 cited

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…

cs.CR2021

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…

cs.CR2021

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…

cs.LG202178 cited

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…

cs.CR202016 cited

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…

cs.CV2019

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…