Developed Density Peak Clustering With Support Vector Data Description for Access Network Intrusion Detection

Developed Density Peak Clustering With Support Vector Data Description for Access Network Intrusion Detection

Access network intrusion detection (ANID) is an indispensable role in guaranteeing information security, in which data-classification is a key operating procedure. In this paper, we propose an algorithm of the developed density peak clustering with support vector data description (SVDD), and it can...

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Bibliographic Details
Main Authors: Chongfu Zhang, Ming Ni, Haiming Yin, Kun Qiu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Access network intrusion detection
density peak clustering
silhouette coefficient
support vector data description
Online Access:https://ieeexplore.ieee.org/document/8440023/

Internet

https://ieeexplore.ieee.org/document/8440023/

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