Cell phone networks produce a massive volume of service usage data which, when combined with location data, can be used to pinpoint emergency situations that cause changes in network usage. Such a change may be the results of an increased number of people trying to call friends or family to tell them what is happening or a decrease in network usage caused by people being unable to use the network. Such events are anomalies and managing emergencies effectively requires identifying anomalies quickly. This problem is difficult due to the rate at which very large volumes of data are produced. In this paper, we discuss the use of data stream clustering algorithms for anomaly detection. Contact:

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This paper discusses a model for an emergency response system. The model is based on a review of the literature and the incorporation of lessons learned from Hurricane Katrina response. The paper takes a holistic view of a system in that an Emergency Response System is viewed as including emergency response members, procedures, and the organization as well as the ICT components of the system. 1.

Abstract – Information automation is a key to higher productivity and lower costs. The downside of automation is its virtual vulnerability (V 2), which refers to system malfunctions or failures caused by the relative ease of exploiting the system vulnerability by Internet users from distance. Email virus, denial of service attacks, unauthorized information access and operations are some examples of V 2. Other examples of V 2 include O.S. backdoor, common mode of failures (e.g., Y2K clock representation), etc. In this paper, we propose a manmachine interaction model to characterize the dynamics between attacks and defense of V 2. Our objective is to quantify the threat and damage of V 2, and other costs to machines due to human misbehavior. We emphasize on the group behavior of defense teams, assuming that attacks are predictable. Our model allows for more realistic characterization of the attackdefense process, and it will help optimizing resource allocation to information assurance investment. Index terms – Security, virtual vulnerability, hybrid Petrinet, group behavior model, man-machine interaction I.

Training for improvisation in emergency

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