RF-SFAD: A RANDOM FOREST MODEL FOR SELECTIVE FORWARDING ATTACK DETECTION IN MOBILE WIRELESS SENSOR NETWORKS
Mobile Wireless Sensor Networks (MWSNs) are highly vulnerable to various security threats due to their open communication channels and deployment in unattended or hostile environments. Although clustered MWSNs offer improved energy efficiency, their dynamic and open nature makes them particularly su...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
XLESCIENCE
2025-06-01
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| Series: | International Journal of Advances in Signal and Image Sciences |
| Subjects: | |
| Online Access: | https://xlescience.org/index.php/IJASIS/article/view/284 |
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