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20242026
most citedDetecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning

4 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2026

ProvICS: A Provenance-based Intrusion Detection for Industrial Control Systems

Md Neyamul Islam Shibbir, Deepak K Tosh

The convergence of Information Technology and Operational Technology has exposed Industrial Control Systems (ICS) to multi-stage cyberattacks that traverse software, network, and p…

cs.DC2025

Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection

William Marfo, Deepak Tosh, Shirley Moore +2

Communication overhead in federated learning (FL) poses a significant challenge for network anomaly detection systems, where diverse client configurations and network conditions im…

cs.DC2025

Network Anomaly Detection in Distributed Edge Computing Infrastructure

William Marfo, Enrique A. Rico, Deepak K. Tosh +1

As networks continue to grow in complexity and scale, detecting anomalies has become increasingly challenging, particularly in diverse and geographically dispersed environments. Tr…

cs.LG2025

Federated Learning for Efficient Condition Monitoring and Anomaly Detection in Industrial Cyber-Physical Systems

William Marfo, Deepak K. Tosh, Shirley V. Moore

Detecting and localizing anomalies in cyber-physical systems (CPS) has become increasingly challenging as systems grow in complexity, particularly due to varying sensor reliability…

cs.LG2025

Efficient Client Selection in Federated Learning

William Marfo, Deepak K. Tosh, Shirley V. Moore

Federated Learning (FL) enables decentralized machine learning while preserving data privacy. This paper proposes a novel client selection framework that integrates differential pr…

cs.LG2025★ 1 cited

Adaptive Client Selection in Federated Learning: A Network Anomaly Detection Use Case

William Marfo, Deepak K. Tosh, Shirley V. Moore

Federated Learning (FL) has become a widely used approach for training machine learning models on decentralized data, addressing the significant privacy concerns associated with tr…

cs.CR2024★ 4 cited

Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning

William Marfo, Pablo Moriano, Deepak K. Tosh +1

Modern vehicles rely on a myriad of electronic control units (ECUs) interconnected via controller area networks (CANs) for critical operations. Despite their ubiquitous use and rel…