An unsupervised approach for traffic trace sanitization based on the entropy spaces
The accuracy and reliability of an anomaly-based network intrusion detection system are dependent on the quality of data used to build a normal behavior profile. However, obtaining these datasets is not trivial due to privacy, obsolescence, and suitability issues. This paper presents an approac...
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| Format: | Artículo |
| Language: | spa |
| Published: |
Springer US
2017
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11961/3078 |
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