Using Generalized Entropies and OC-SVM with Mahalanobis Kernel for Detection and Classification of Anomalies in Network Traffic

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Using Generalized Entropies and OC-SVM with Mahalanobis Kernel for Detection and Classification of Anomalies in Network Traffic

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Using Generalized Entropies and OC-SVM with Mahalanobis Kernel for Detection and Classification of Anomalies in Network Traffic is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Using Generalized Entropies and OC-SVM with Mahalanobis Kernel for Detection and Classification of Anomalies in Network Traffic. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-generalized-entropies-and-oc-svm-with-mahalanobis-kernel-for-detection-and-classification-of-anomalies-in-network-
MLA “Using Generalized Entropies and OC-SVM with Mahalanobis Kernel for Detection and Classification of Anomalies in Network Traffic.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-generalized-entropies-and-oc-svm-with-mahalanobis-kernel-for-detection-and-classification-of-anomalies-in-network-.
BibTeX @misc{4ortxyz_using-generalized-entropies-and-oc-svm-with-mahalanobis-kernel-for-detection-and-classification-of-anomalies-in-network-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Generalized Entropies and OC-SVM with Mahalanobis Kernel for Detection and Classification of Anomalies in Network Traffic}}, year = {2026}, url = {https://4ort.xyz/entity/using-generalized-entropies-and-oc-svm-with-mahalanobis-kernel-for-detection-and-classification-of-anomalies-in-network-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using Generalized Entropies and OC-SVM with Mahalanobis Kernel for Detection and Classification of Anomalies in Network Traffic — https://4ort.xyz/entity/using-generalized-entropies-and-oc-svm-with-mahalanobis-kernel-for-detection-and-classification-of-anomalies-in-network- (retrieved 2026-05-24)

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