activity
20202022
most citedA Privacy-Preserving Healthcare Framework Using Hyperledger Fabric

141 citations · 509 across the 14 of their papers we have counts for

collaborators

14 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.CR202232 cited

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…

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.LG202126 cited

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…