Abstract Wireless Sensor Networks (WSNs) consist of a large number of spatially distributed autonomous devices that collect data from wireless medium. WSN has major technology for IoT paradigm; facilitates collaboration of heterogeneous information systems and services. Due to its distributed nature, these networks are highly vulnerable to various security threats which adversely affect their performance. One of the major challenges associated in such network... Wireless Sensor Networks (WSNs) consist of a large number of spatially distributed autonomous devices that collect data from wireless medium. WSN has major technology for IoT paradigm; facilitates collaboration of heterogeneous information systems and services. Due to its distributed nature, these networks are highly vulnerable to various security threats which adversely affect their performance. One of the major challenges associated in such network is security. Trust is the influential factor that applies in the security of WSNs which finds its applications in cloud system, e-commerce etc. The secure and efficient neighbor selection is an issue of multiple criteria decision making (MCDM), where many quality of service (QoS) parameters plays an important role in the process of best neighbor selection. This paper highlights the different QoS parameters and defines in a quantifies form. A dynamic and efficient trust model is proposed which is based on ranking method for recommendation of appropriate secure neighbor node. As ranking method used in the paper is based on MCDM, collecting recommendation of secure neighbor is enhanced. To rank the available neighbors, we use voting approach and also a hybrid method of Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) methods. The paper also included a case study to demonstrate the effectiveness of proposed method which maximizes the defence against internal attacks. Read More Read Less

Abstract Physiological signals are good predictors of stress, which can be thought of as part of a user’s context. In this work, an option to combine the user’s stress level with other contextual factors is presented. This is done in the form of two AWARE plugins - Android applications that can be incorporated into a smartphone monitoring setup. In the first part, the stress... Physiological signals are good predictors of stress, which can be thought of as part of a user’s context. In this work, an option to combine the user’s stress level with other contextual factors is presented. This is done in the form of two AWARE plugins - Android applications that can be incorporated into a smartphone monitoring setup. In the first part, the stress detection method is described, which consists of a lab stress detector, an activity classier, and a context-aware stress model. In the second part, two plugins are described. One streams the data from the Empatica E4 wristband and the other one uses this physiological data to predict stress. Finally, some possibilities to improve this work are presented. Read More Read Less

Abstract There are moments in most people’s lives when they feel more or less themselves. This experience is usually caught in people sayings that they need to find themselves or just be who they ‘really are’. The purpose of this paper is to provide an explanation for these feelings of authenticity. I first explore this concept and consequently introduce necessary conditions for the phenomenological... There are moments in most people’s lives when they feel more or less themselves. This experience is usually caught in people sayings that they need to find themselves or just be who they ‘really are’. The purpose of this paper is to provide an explanation for these feelings of authenticity. I first explore this concept and consequently introduce necessary conditions for the phenomenological experience of authenticity. This is followed by the examination of two problems that authenticity faces and two possible ways of explaining the experience of authenticity, which are discovery and creation. I then assess three discovery views and show why they are unsatisfactory in explaining feelings of authenticity. In response I then provide my own creation model of authenticity, which argues that feelings of authenticity are a result of a convergence between our current and ideal self. In this sense, authentic self is created. What we are is a matter of choice. Read More Read Less