Enhancing anomaly detection for social multimedia in SDN using glow worm-driven deep belief network
The evolution in network security within social multimedia communication depends on effective anomaly detection. One of the most essential elements of security involves identifying suspicious behavior during multimedia data transport. These abnormalities can adversely impact the network's perfo...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-07-01
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| Series: | Automatika |
| Online Access: | https://www.tandfonline.com/doi/10.1080/00051144.2025.2476806 |
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