Networks like those of healthcare infrastructure have been a primary target of cyberattacks for over a decade. From just a single cyberattack, a healthcare facility would expect to see millions of dollars in losses from legal fines, business interruption, and malpractice lawsuits. As more medical devices become interconnected, more cyber vulnerabilities...

Cyber risk has emerged as a significant threat to businesses that have increasingly relied on new and existing information technologies. Across various businesses in different industries and sectors, a distinct pattern of IT network architectures, such as the client-server network architecture, may expose those businesses, which share it, to similar...

Many navigation systems rely on detecting the angle of arrival (AoA) of waves to determine desired coordinates. For example, a variety of radar systems deploy AoA detection to deliver desired information about the surrounding area or target of interest. Modern radio environments rely on adaptive beamforming techniques to direct electromagnetic waves...

The ubiquitous and heterogeneous deployment of internet of things (IoT) devices in smart homes has created new opportunities to extract knowledge, awareness, and intelligence via monitoring and understanding the devices’ interactions with their environments and users. Meaningful information from network traffic of IoT devices in smart homes can...

Recently, the surge in Internet-of-things (IoT) device deployment within smart homes has led to a large need for understanding user activities through the vast data generated by these devices. While studies have explored individual device behaviors and network traffic patterns, there remains a gap in leveraging this data collectively to infer and monitor...

Orthogonal time frequency space (OTFS) modulation has the potential to enable robust communications in highly mobile scenarios. This is due to multiplexing information-bearing data into nearly-constant channels in the delay-Doppler domain instead of the time-frequency domain, which makes communication more resilient to fast changes in the channel....

­Wireless sensor network (WSN) is a distributed network consisting of multi-functional sensors, which can communicate with neighboring sensors over wireless channels. Estimating statistics of sensor measurements in WSNs is necessary for detecting anomalous sensors, supporting nodes with insufficient resources, determining network area estimation,...

Distributed wireless sensor networks are an essential part of modern Internet-of-Things (IoT) and sensor fusion systems. In such networks, all the distributed agents have to reach consensus on a value of interest. The spectral radius of the graph is the largest eigenvalue of the adjacency matrix, and is a useful characterization of the network graph....

Location detection systems employ wireless sensor networks (WSNs) to approximate the physical position of events within an area of interest. WSNs consist of sensor and anchor nodes that are spatially distributed over the area of interest, and are overseen by a fusion center (FC) that collects node information. In applications such as fire or motion...