Network Traffic Anomaly Detection Algorithm Based on Intuitionistic Fuzzy Time Series Graph Mining
Network traffic anomaly detection is an important technology in cyberspace security. Combining information entropy theory and a variable ordering heuristic intuitionistic fuzzy time series forecasting model, we present a traffic anomaly detection algorithm based on intuitionistic fuzzy time series g...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9050557/ |