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A Visualization Scheme for Network Forensics Based on Attribute Oriented Induction Based Frequent Item Mining and Hyper Graph

international conference on digital forensics, pp.130-143, (2017)

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Abstract

Visualizing massive network traffic flows or security logs can facilitate network forensics, such as in the detection of anomalies. However, existing visualization methods do not generally scale well, or are not suited for dealing with large datasets. Thus, in this paper, we propose a visualization scheme, where an attribute-oriented indu...More

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