Christian Bockermann wrote:
@wang: You might have want to have a look at the paper "Anomaly
Detection of Web-based Attacks" by Giovanni Vigna and Christopher
Kruegel (as well as "A multi-model approach to the detection of
web-based attacks" by them).
They did log file analysis on access log data using statistical models.
This might work for you as a labeling approach.
Using an anomaly detector (with its false positives and negatives) to
label a dataset to evaluate another anomaly detector is the biblical
"blind leading the blind" ;)
Stefano
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