During emergency situations one of the key requirements to handle the crisis is information sharing among organizations involved in the emergency management. When emergency situations are well known, it is possible to specify a priori these situations and to plan the information sharing needs in advance. However, there are many situations where it is not possible to describe these emergencies and their information sharing requirements beforehand. Therefore, in this paper, we present a framework able to deal with both specified and unspecified emergencies. The idea is to detect unspecified emergencies and related information sharing needs through denied access request analysis, anomaly detection techniques, and analysis of the history of permitted access requests. Besides presenting the techniques, the paper also presents experiments to verify their effectiveness.

Detection of Unspecified Emergencies for Controlled Information Sharing

CARMINATI, BARBARA;FERRARI, ELENA;GUGLIELMI, MICHELE
2015-01-01

Abstract

During emergency situations one of the key requirements to handle the crisis is information sharing among organizations involved in the emergency management. When emergency situations are well known, it is possible to specify a priori these situations and to plan the information sharing needs in advance. However, there are many situations where it is not possible to describe these emergencies and their information sharing requirements beforehand. Therefore, in this paper, we present a framework able to deal with both specified and unspecified emergencies. The idea is to detect unspecified emergencies and related information sharing needs through denied access request analysis, anomaly detection techniques, and analysis of the history of permitted access requests. Besides presenting the techniques, the paper also presents experiments to verify their effectiveness.
2015
Carminati, Barbara; Ferrari, Elena; Guglielmi, Michele
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2022478
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