Due to the prevalence of Wireless Sensor Networks (WSNs) in the many mission-critical applications such as military areas, security has been considered as one of the essential parameters in Quality of Service (QoS), and Intrusion Detection System (IDS) is considered as a fundamental requirement for security in these networks. This paper presents a lightweight Intrusion Detection System to prote...

bivariate features, obtained from multichannel electroencephalogram (eeg) recordings, quantify the relation between different brain regions. studies based on bivariate features have shown optimistic results for tackling epileptic seizure prediction problem in patients suffering from refractory epilepsy. a new bivariate approach using univariate features is proposed here. differences and ratios ...

Industrial sensing applications place a premium on costeffectiveness and accuracy. Traditional approaches often use expensive, invasive sensors, because inexpensive sensors suffer from false positive detections. Sensor cost means automation is sparse or avoided when the value of specific sites cannot be justified. In this paper, we show combining different types of sensors can allow low-cost se...

In short-term earthquake risk forecasting, the avoidance of false alarms is of utmost importance to preclude the possibility of unnecessary panic among populations in seismic hazard areas. Unusual animal behaviour prior to earthquakes has been reported for millennia but has rarely been scientifically documented. Recently large migrations or unusual behaviour of amphibians have been linked to la...

Anomalies are rare events. For anomaly detection, severe class imbalance is the norm. Although there has been much research into imbalanced classes, there are surprisingly few examples of dealing with severe imbalance. Alternative performance measures have superseded error rate, or accuracy, for algorithm comparison. But whatever their other merits, they tend to obscure the severe imbalance pro...

The problem of false alarms in electronic monitoring systems has grown over the last decade. This growth has been associated with increasing system complexity and advances in the state of the art. Studies have shown that some systems exhibit as many as 40% or more “false pulls,” and associated with the false-alarm problem, a large volume of wasted or ineffective maintenance actions exist. What ...

This paper focuses on how the behavior of drivers in response to warning systems is influenced by their trust in those warning systems. The experimental examinations show that a) false alarms result in a reduction in trust and an increased reaction time to braking, b) a lack of alarms result in a delay in the recognition of hazardous situations, c) excessive trust induces significant delays in ...

OBJECTIVE We tested the hypothesis that automation errors on tasks easily performed by humans undermine trust in automation. BACKGROUND Research has revealed that the reliability of imperfect automation is frequently misperceived. We examined the manner in which the easiness and type of imperfect automation errors affect trust and dependence. METHOD Participants performed a target detection...