70 citations · 226 across the 18 of their papers we have counts for
18 papers
Evaluating False Alarm and Missing Attacks in CAN IDS
Nirab Hossain, Pablo Moriano
Modern vehicles rely on electronic control units (ECUs) interconnected through the Controller Area Network (CAN), making in-vehicle communication a critical security concern. Machi…
Community Concealment from Graph Neural Networks
Dalyapraz Manatova, Pablo Moriano, L. Jean Camp
Graph neural networks (GNNs) enable powerful unsupervised learning of communities. However, such inference may inadvertently expose sensitive group structures, critical clustered p…
Community detection robustness of graph neural networks
Jaidev Goel, Pablo Moriano, Ramakrishnan Kannan +1
Graph neural networks (GNNs) are increasingly widely used for community detection in attributed networks. They combine structural topology with node attributes through message pass…
Temporal cross-validation impacts multivariate time series subsequence anomaly detection evaluation
Steven C. Hespeler, Pablo Moriano, Mingyan Li +1
Evaluating anomaly detection in multivariate time series (MTS) requires careful consideration of temporal dependencies, particularly when detecting subsequence anomalies common in…
Electrical Load Forecasting over Multihop Smart Metering Networks with Federated Learning
Ratun Rahman, Pablo Moriano, Samee U. Khan +1
Electric load forecasting is essential for power management and stability in smart grids. This is mainly achieved via advanced metering infrastructure, where smart meters (SMs) rec…
Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review
Pablo Moriano, Steven C. Hespeler, Mingyan Li +1
Modern cyberattacks in cyber-physical systems (CPS) rapidly evolve and cannot be deterred effectively with most current methods which focused on characterizing past threats. Adapti…
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…
Evaluating lightweight unsupervised online IDS for masquerade attacks in CAN
Pablo Moriano, Steven C. Hespeler, Mingyan Li +1
Vehicular controller area networks (CANs) are susceptible to masquerade attacks by malicious adversaries. In masquerade attacks, adversaries silence a targeted ID and then send mal…
Robustness of shallow graph embedding methods for community detection
Zhi-Feng Wei, Pablo Moriano, Ramakrishnan Kannan
This study investigates the robustness of shallow graph embedding methods for community detection in the face of network perturbations, specifically node deletions. Graph embedding…
Developing and Deploying Security Applications for In-Vehicle Networks
Samuel C Hollifield, Pablo Moriano, William L Lambert +3
Radiological material transportation is primarily facilitated by heavy-duty on-road vehicles. Modern vehicles have dozens of electronic control units or ECUs, which are small, embe…
Robustness of community structure under edge addition
Moyi Tian, Pablo Moriano
Communities often represent key structural and functional clusters in networks. To preserve such communities, it is important to understand their robustness under network perturbat…
Detecting CAN Masquerade Attacks with Signal Clustering Similarity
Pablo Moriano, Robert A. Bridges, Michael D. Iannacone
Vehicular Controller Area Networks (CANs) are susceptible to cyber attacks of different levels of sophistication. Fabrication attacks are the easiest to administer -- an adversary…
Graph-Based Machine Learning Improves Just-in-Time Defect Prediction
Jonathan Bryan, Pablo Moriano
The increasing complexity of today's software requires the contribution of thousands of developers. This complex collaboration structure makes developers more likely to introduce d…
Time-Based CAN Intrusion Detection Benchmark
Deborah H. Blevins, Pablo Moriano, Robert A. Bridges +3
Modern vehicles are complex cyber-physical systems made of hundreds of electronic control units (ECUs) that communicate over controller area networks (CANs). This inherited complex…
A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset
Miki E. Verma, Robert A. Bridges, Michael D. Iannacone +5
Although ubiquitous in modern vehicles, Controller Area Networks (CANs) lack basic security properties and are easily exploitable. A rapidly growing field of CAN security research…
Using Bursty Announcements for Detecting BGP Routing Anomalies
Pablo Moriano, Raquel Hill, L. Jean Camp
Despite the robust structure of the Internet, it is still susceptible to disruptive routing updates that prevent network traffic from reaching its destination. Our research shows t…
On the formation of structure in growing networks
P. Moriano, J. Finke
Based on the formation of triad junctions, the proposed mechanism generates networks that exhibit extended rather than single power law behavior. Triad formation guarantees strong…
Power-law weighted networks from local attachments
P. Moriano, J. Finke
This letter introduces a mechanism for constructing, through a process of distributed decision-making, substrates for the study of collective dynamics on extended power-law weighte…