- Tytuł:
- Incoherent Dictionary Learning for Sparse Representation in Network Anomaly Detection
- Autorzy:
-
Andrysiak, Tomasz
Saganowski, Łukasz - Powiązania:
- https://bibliotekanauki.pl/articles/1373708.pdf
- Data publikacji:
- 2015
- Wydawca:
- Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego
- Tematy:
-
dictionary learning
sparse representation
anomaly detection - Opis:
- In this article we present the use of sparse representation of a signal and incoherent dictionary learning method for the purpose of network traffic analysis. In learning process we use 1D INK-SVD algorithm to detect proper dictionary structure. Anomaly detection is realized by parameter estimation of the analyzed signal and its comparative analysis to network traffic profiles. Efficiency of our method is examined with the use of extended set of test traces from real network traffic. Received experimental results confirm effectiveness of the presented method.
- Źródło:
-
Schedae Informaticae; 2015, 24; 63-71
0860-0295
2083-8476 - Pojawia się w:
- Schedae Informaticae
- Dostawca treści:
- Biblioteka Nauki
Artykuł