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, …

This chapter discusses the role of education in the preparation of the next generation of entrepreneurs in nature conservation. Departing from the traditional conservation education, which emphasizes ecological management, the chapter is a plea for incorporating entrepreneurship in the curricula of educational …

Organisations are increasingly becoming interdependent in order to create and deliver superior value to their customers. The resulting business mod- els of such organisations are becoming increasingly complex and difficult to de- sign, because they have to deal with multiple stakeholders and their competing …

While a relatively large literature outlines adjustment processes for retirees in general, very little empirical and theoretical attention has focused on the psychological adjustment process for bridge employees. That is to say, few studies have attempted to understand the psychological mechanisms that …

In textual modeling, models are created through an intermediate parsing step which maps textual representations to abstract model structures. Therefore, the identify of elements is not stable across different versions of the same model. Existing model differencing algorithms, therefore, cannot be applied …

The airline industry is one of the most affected by operational disruptions, defined as deviations from originally planned operations. Due to airlines network configuration, delays are rapidly propagated to connecting flights, substantially increasing unexpected costs for the airlines.

We present a method for measuring gait velocity using data from an existing ambient sensor network. Gait velocity is an important predictor of fall risk and functional health. In contrast to other approaches that use specific sensors or sensor configurations our method imposes no constraints on the elderly. …

This paper explores a method for deducing the affective state of runners using his/her movements. The movements are measured on the arm using a smartphone’s built-in accelerometer. Multiple features are derived from the measured data. We studied which features are most predictive for the affective state …

Ubiquitous computing, new sensor technologies, and increasingly available and accessible algorithms for pattern recognition and machine learning enable automatic analysis and modeling of human behavior in many novel ways. In this introductory paper of the 6th International Workshop on Human Behavior …