Technology can highly improve search and rescue operations especially happening after a large scale disaster. However, before novel systems can be deployed in a large scale, the concepts need to be tested and validated through appropriate modeling and simulation tools. To this purpose, in this paper we present a mobility model addressing the vital initial stages right after the occurrence of an urban disaster event. We implemented the model into a simulator in order to study and refine the model itself, and used it to test applications targeting urban disaster scenarios. In order to show the capabilities of the model and of the simulator, we propose an application where victims are passively involved in the search and rescue operations through their mobile devices. Results show that victims' involvement in exchanging information has a great benefit for search and rescue operations.

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Monitoring is crucial both to the correct operation of a network and to the services that run on it. Operators perform monitoring for various purposes, including traffic engineering, quality of service, security and detection of faults and misconfigurations. However, the relentless growth of IP traffic volume renders real-time monitoring and analysis of data a very challenging problem.In this paper we introduce Crosstalk, a scalable and efficient distributed monitoring architecture that uses cross-protocol correlation to detect network anomalies. While applicable to a wide range of applications such as botnet detection, spam mitigation and mis-configurations, we pick a point in this application space, concentrating on VoIP attacks. We present extensive simulation results based both on generated calls and on millions of Call Data Records (CDRs) from a large VoIP operator to show our approach's performance and effectiveness.