There are several remaining open questions in the area of flow-based anomaly detection, e.g., how to do meaning- ful evaluations of anomaly detection ...
Flame uses a constructive anomaly modeling approach that simulates the cause of an anomaly rather than its effects. We have described our anomaly injection ...
In this work, we present flame, a tool for injection of hand-crafted anomalies into a given background traffic trace. This tool combines the control- lability ...
In this work, we present flame, a tool for injection of hand-crafted anomalies into a given background traffic trace. This tool combines the controllability ...
FLAME is a handy tool for evaluating anomaly detection systems operating at the flow level. FLAME takes a serial stream of flows in Netflow v5, Netflow v9 or ...
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Flame: A Flow-Level Anomaly Modeling Engine. Martin May. M. May. Daniela Brauckhoff. D. Brauckhoff. Arno Wagner. A. Wagner. Outfitting An Inter-As Topology To A ...
In this paper, we present an approach for evaluating Netflow records by referring to a method of temporal aggregation applied to Machine Learning techniques.
Flow-based anomaly detection is an anomaly detection approach that operates on NetFlow data which is exported from today's routers. Operating on flows instead ...
Oct 18, 2022 · May, “FLAME: A Flow-Level. Anomaly Modeling Engine,” in Workshop on Cyber Security Experimen- tation and Test (Terry Benzel, ed.), (San Jose ...