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This paper presents the work on resilient and secure power transmission and distribution developed within the VIKING (Vital Infrastructure, networKs, INformation and control system ManaGement) project. VIKING receives funding from the European Community's Seventh Framework Program. We will present the consortium, the motivation behind this research, the main objective of the project together with the current status.

The Supervisory Control and Data Acquisition System (SCADA) monitor and control real-time systems. SCADA systems are the backbone of the critical infrastructure, and any compromise in their security can have grave consequences. Therefore, there is a need to have a SCADA testbed for checking vulnerabilities and validating security solutions. In this paper we develop such a SCADA testbed.

In this paper, we present an open-source platform for wireless body sensor networks called DexterNet. The system is motivated by shifting research paradigms to support real-time, persistent human monitoring in both indoor and outdoor environments. The platform utilizes a three-layer architecture to control heterogeneous body sensors. The first layer, called the body sensor layer (BSL), deals with design of different wireless body sensors and their instrumentation on the body. We detail two custom-built body sensors: one measuring body motions and the other measuring the ECG and respiratory patterns. At the second layer, called the personal network layer (PNL), the wireless body sensors on a single subject communicate with a mobile base station, which supports Linux OS and the IEEE 802.15.4 protocol. The BSL and PNL functions are abstracted and implemented as an opensource software library, called Signal Processing In Node Environment (SPINE). A DexterNet network is scalable, and can be reconfigured on-the-fly via SPINE. At the third layer, called the global network layer (GNL), multiple PNLs communicate with a remote Internet server to permanently log the sensor data and support higher-level applications. We demonstrate the versatility of the DexterNet platform via three applications: avatar visualization, human activity recognition, and integration of DexterNet with global positioning sensors and air pollution sensors for asthma studies.

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Abstract-We present an application of an open source platform for wireless body sensor network called DexterNet to the problem of children's asthma. The architecture of the system consists of three layers. At the body sensor layer (BSL), the integrated monitoring of a child's activities, geographic location, and air pollution exposures occurs. At the personal network layer (PNL), a wireless mobile device worn by the child summarizes the sensed data, and provides information feedback. The mobile device communicates wirelessly over the Internet with the third global network layer (GNL), in which a web server provides the following four information services: a clinical module that supports the healthcare management of asthma cases, a personal health module that supports individual prevention of asthma attacks, a community module that supports participatory sensing, and a health research module that supports the collection of anonymous sensor data for research into the risk factors associated with asthma. We illustrate the potential for the system to serve as a comprehensive strategy to manage asthma cases and prevent asthma attacks.