Q-Learning-based detection of IPv6 intrusions: a behavioral and performance study
Intrusion attacks remain a persistent threat in computer networks, occurring unpredictably across various geographic locations. Among these, IPv6-based flood attacks are particularly concerning due to the expanded address space, which enables the transmission of large packets. This problem can signi...
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| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | en en |
| Published: |
IEEE
2025
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/126360/1/126360_Q-Learning-based%20detection.pdf http://irep.iium.edu.my/126360/7/126360_Q-Learning-based%20detection_SCOPUS.pdf http://irep.iium.edu.my/126360/ https://ieeexplore.ieee.org/document/11291642 |
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