Machine Learning Techniques for Enhanced Intrusion Detection in IoT Security
Network Intrusion Detection Systems (NIDSs) are fundamental to safeguarding computer networks. Intrusion detection systems must become more effective as new attacks are developed and networks grow. Anomaly-based automated detection stands out due to its superior performance among the various detecti...
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| Main Authors: | Hanadi Hakami, Muhammad Faheem, Majid Bashir Ahmad |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10887215/ |
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