Details

Autor(en) / Beteiligte

• Jingyan Tang
• Schafer, James
• Zhuorui Yang
• Ganz, Aura

Titel

Spatiotemporal digital forensic toolkit for mass casualty incidents: Interactive incident playback and anomaly detection

Ist Teil von

• 2016 IEEE Symposium on Technologies for Homeland Security (HST), 2016, p.1-4

Ort / Verlag

IEEE

Erscheinungsjahr

2016

Quelle

IEEE Xplore

Beschreibungen/Notizen

• Analyzing and visualizing spatiotemporal events at a disaster site is a challenging task due to the vast number of events captured during the rescue process. At the same time, the availability of spatial temporal information during a disaster event is invaluable to understand the rescue process and enhance the MCI training accordingly. For this purpose, we have developed a spatiotemporal toolkit that will enable us to analyze and visualize these events, playback the events and detect anomalies. This toolkit will be very useful for forensics analysis of the rescue process during a real disaster or during training sessions. Our novel techniques will be used by analysts to examine current practices and significantly enhance our understanding of the rescue process enabling us to improve training.