Abstract Intrusion Detection Systems (IDSs) have become essential to the sound operations
of networks. These systems have the potential to identify and report deviations from normal …

Modern vehicles, including connected vehicles and autonomous vehicles, nowadays
involve many electronic control units connected through intravehicle networks (IVNs) to …

With the increasing sophistication of cyber threats, the integration of machine learning (ML)
techniques in network security has become imperative for detecting and mitigating evolving …

As real-time data sources expand, the need for detecting anomalies in streaming data
becomes increasingly critical for cutting edge data-driven applications. Real-time anomaly …

As connected and autonomous vehicles proliferate, the Controller Area Network (CAN) bus
has become the predominant communication standard for in-vehicle networks due to its …

Abstract Critical Industries such as Manufacturing, Power, and Intelligent Transportation are
increasingly using IIoT systems, making them more susceptible to cyberattacks. To counter …

Like smart phones, the recent years have seen an increased usage of internet of things (IoT)
technology. IoT devices, being resource constrained due to smaller size, are vulnerable to …

Anomaly detection attempts to find examples in a dataset that do not conform to the
expected behavior. Algorithms for this task assign an anomaly score to each example …

Nowadays mobile positioning devices, such as global navigation satellite systems (GNSS)
but also external sensor technology like cameras allow an efficient online collection of …

Network security in the midst of evolving and complex cyber-attacks is a growing concern.
As the complexity of network architectures grows, so does the need for advanced methods in …