Intrusion detection system (IDS) using machine learning
Intrusion Detection Systems (IDS) play a critical role in safeguarding organizational networks by identifying potential threats and anomalies. However, traditional IDS approaches often suffer from high false alarm rates, leading to unnecessary alerts for administrators. This research focuses on enha...
| Main Author: | Tan, May May |
|---|---|
| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2024
|
| Subjects: | |
| Online Access: | http://eprints.utar.edu.my/6498/ http://eprints.utar.edu.my/6498/1/fyp_CN_2024_TMM.pdf |
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