1 citations · 1 across the 4 of their papers we have counts for
5 papers
Physics-Attested Federated Learning: Securing Collaborative Anomaly Detection in Critical Water Infrastructure
Jeff Nijsse, Shu Su, Benjamin Oholeguy +1
Federated learning enables industrial operators to train shared intrusion detection models without disclosing proprietary operational telemetry. However, existing defenses operate…
The Anatomy of Address Poisoning on Ethereum: Funding Mechanisms, Scam Signatures, and Laundering via Tornado Cash
Son Hoang Dau, Thanh Nguyen, Phuong Duy Huynh +5
Address-Poisoning Transfer (APT) is a prevalent blockchain phishing scam in which a scammer poisons a victim's address book by generating a transfer with a phishing address that lo…
Normalisation and Initialisation Strategies for Graph Neural Networks in Blockchain Anomaly Detection
Dang Sy Duy, Nguyen Duy Chien, Kapil Dev +1
Graph neural networks (GNNs) offer a principled approach to financial fraud detection by jointly learning from node features and transaction graph topology. However, their effectiv…
Central Bank Digital Currencies: Where is the Privacy, Technology, and Anonymity?
Jeff Nijsse, Andrea Pinto
In an age of financial system digitisation and the increasing adoption of digital currencies, Central Bank Digital Currencies (CBDCs) have emerged as a focal point for technologica…
Towards a Structural Equation Model of Open Source Blockchain Software Health
Jeff Nijsse, Alan Litchfield
The widespread use of GitHub among software developers as a communal platform for coordinating software development has led to an abundant supply of publicly accessible data. Ever…