This study evaluates the potential of Unmanned Aerial Vehicle-based Ground-Penetrating Radar (UAV-GPR) for identifying buried features related to a suspected World War II (WWII) hiding place near Bornerbroekseweg, the Netherlands. The survey area is an active farmland …

Anomalies in Heating, Ventilation, and Air Conditioning (HVAC) systems of buildings can lead to performance degradation, energy inefficiencies, and occupant discomfort. Automated anomaly detection is essential to prevent these issues. Machine learning based anomaly detection techniques are effective …

The present chapter is about coastal border control for threats entering the coastal waters under the water surface. This threat consists mainly of covertly operating submarines. Acoustic sensors are commonly used for the detection of these submarines, as illustrated by the recent (renewed) deployment …

With trade concentrated in a few ports in todays global economy, even a single maritime terrorist incident has the potential to significantly disrupt our economic and financial processes. A (renewed) maritime focus for policy makers is not only of paramount interest for our economic wealth and progress, …

This research, commissioned by Fox-IT, is focused on the development of a new concept in cybersecurity event monitoring to improve the detection capabilities of the CTM Endpoint Module. Additional background information of Fox-IT is provided in Chapter 2. The description of the research assignment and …

We present a novel anomaly-based detection approach capable of detecting botnet Command and Control traffic in an enterprise network by estimating the trustworthiness of the traffic destinations. A traffic flow is classified as anomalous if its destination identifier does not origin from: human input, …

Abstract: The key challenge of managing Floating Production Storage and Offloading assets (FPSOs) for offshore hydrocarbon production lies in maximizing the economic value and productivity, while minimizing the Total Cost of Ownership and operational risk. This is a comprehensive task, considering the …

Ambient monitoring systems offer great possibilities for health trend analysis in addition to anomaly detection. Health trend analysis helps care professionals to evaluate someones functional health and direct or evaluate the choice of interventions. This paper presents one case study of a person that …

Anomaly detection is a key factor in the processing of large amounts of sensor data from Wireless Sensor Networks (WSN). Efficient anomaly detection algorithms can be devised performing online node-local computations and reducing communication overhead, thus improving the use of the limited hardware …

The maturing field of Wireless Sensor Networks (WSN) results in long-lived deployments that produce large amounts of sensor data. Lightweight online on-mote processing may improve the usage of their limited resources, such as energy, by transmitting only unexpected sensor data (anomalies). We detect …