Zhou et al., 2022 - Google Patents
A Comprehensive Feature Importance Evaluation for DDoS Attacks DetectionZhou et al., 2022
- Document ID
- 9559222528570947265
- Author
- Zhou L
- Zhu Y
- Xiang Y
- Publication year
- Publication venue
- International Conference on Advanced Data Mining and Applications
External Links
Snippet
DDoS attacks still be a critical threat to online services. To defend against attacks, many features are proposed to measure the difference between attack traffic and normal traffic in DDoS detection. However, the feature importance of the features has not been evaluated …
- 238000001514 detection method 0 title abstract description 70
Classifications
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- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1425—Traffic logging, e.g. anomaly detection
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- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1416—Event detection, e.g. attack signature detection
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- H—ELECTRICITY
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- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1441—Countermeasures against malicious traffic
- H04L63/145—Countermeasures against malicious traffic the attack involving the propagation of malware through the network, e.g. viruses, trojans or worms
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