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Network Traffic Anomaly Detection and Evaluation
0 - Default Title
Description
In this thesis, we address three of these challenges. When working with large-scale network data from possibly multiple routers, the curse of dimensionality considerably complicates the problem of anomaly detection. Principal component analysis has been proposed to deal with it. However, as subsequent work has discovered several deficiencies in the proposed PCAmethod, there is room for improvement. A second challenge stems from the underlying assumption of anomaly detection mentioned above, which, unfortunately, does not always hold in practice.
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
200
Release Date:
2010-03-01
Publication Date:
2010-03-31
Publisher:
Shaker Verlag
Languages:
Original:
English
ISBN10:
3832289771
ISBN13:
9783832289775
Weight:
275 g
Height:
149 cm
Width:
211 cm
Thickness:
12 cm
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