Events1st International Electronic Conference on Entropy and Its Applications
Event submissions
Published
with-doi10.3390/ecea-1-b004
This submission belongs to the session b. Information Theory of the event 1st International Electronic Conference on Entropy and Its Applications
Published date
03 Nov, 2014
Citation
Jayro Santiago-Paz, Deni Torres-Roman, Angel Figueroa-Ypiña, Detection and Classification of Anomalies in Network Traffic Using Generalized Entropies and OC-SVM with Mahalanobis Kernel, in Proceedings of 1st International Electronic Conference on Entropy and Its Applications, 3 November–21 November 2014, MDPI: Basel, Switzerland, doi: 10.3390/ecea-1-b004
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Detection and Classification of Anomalies in Network Traffic Using Generalized Entropies and OC-SVM with Mahalanobis Kernel

Jayro Santiago-Paz 1
Deni Torres-Roman 1
Angel Figueroa-Ypiña 1
1. Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Campus Guadalajara
Abstract
Keywords
Generalized entropies
network traffic
anomaly detection
OC-SVM
Mahalanobis Kernel
Mahalanobis distance
Manuscript
ECEA-1_Detection and Classification_SantiagoPaz et al.pdf
Poster
Presentation Detection and Classification of Anomalies in Network Traffic Using Generalized Entropies and OC-SVM with Mahalanobis Kernel.pdf
Presentation Detection and Classification of Anomalies in Network Traffic Using Generalized Entropies and OC-SVM with Mahalanobis Kernel.pdf