A Novel Model for Anomaly Detection in Network Traffic Based on Support Vector Machine and Clustering
New vulnerabilities and ever-evolving network attacks pose great threats to today’s cyberspace security. Anomaly detection in network traffic is a promising and effective technique to enhance network security. In addition to traditional statistical analysis and rule-based detection techniques, machi...
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Auteurs principaux: | Qian Ma, Cong Sun, Baojiang Cui |
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Format: | article |
Langue: | EN |
Publié: |
Hindawi-Wiley
2021
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Accès en ligne: | https://doaj.org/article/e38e84a0d3ae47fd95319e56777aeb79 |
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