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Forensic Event Analysis: From Seemingly Unrelated Data to Understanding
IEEE Security & Privacy ( IF 2.9 ) Pub Date : 2020-07-07 , DOI: 10.1109/msec.2020.3000446 Rafael Padilha 1 , Caroline Mazini Rodrigues 1 , Fernanda Alcantara Andalo 2 , Gabriel Bertocco 1 , Zanoni Dias 1 , Anderson Rocha 1
IEEE Security & Privacy ( IF 2.9 ) Pub Date : 2020-07-07 , DOI: 10.1109/msec.2020.3000446 Rafael Padilha 1 , Caroline Mazini Rodrigues 1 , Fernanda Alcantara Andalo 2 , Gabriel Bertocco 1 , Zanoni Dias 1 , Anderson Rocha 1
Affiliation
We discuss the problem of restructuring visual data from different heterogeneous sources to analyze an event of interest. We present X-coherence: a pipeline seeking to organize and represent pieces of data, tying them coherently with the real world and with one another. We also outline research challenges while seeking X-coherence.
中文翻译:
取证事件分析:从看似无关的数据到理解
我们讨论重组来自不同异构源的视觉数据以分析感兴趣的事件的问题。我们提出了 X-coherence:一种寻求组织和表示数据片段的管道,将它们与现实世界以及彼此之间连贯地联系起来。我们还概述了寻求 X 一致性时的研究挑战。
更新日期:2020-07-07
中文翻译:
取证事件分析:从看似无关的数据到理解
我们讨论重组来自不同异构源的视觉数据以分析感兴趣的事件的问题。我们提出了 X-coherence:一种寻求组织和表示数据片段的管道,将它们与现实世界以及彼此之间连贯地联系起来。我们还概述了寻求 X 一致性时的研究挑战。