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Data-Driven NIDS with Deep Learning by regahi5646 is a document available to read on EtoBox.

What is Data-Driven NIDS with Deep Learning about?

The paper presents a data-driven network intrusion detection system (NIDS) called FS-DL that utilizes feature selection and deep learning techniques to enhance detection accuracy and reduce computational load. FS-DL employs a simple neural network structure and focuses on improving data quality by removing redundant features, achieving effective anomaly detection in software-defined networking (SDN) environments. Experimental results demonstrate that FS-DL can achieve high detection performance with a minim

Author

regahi5646

Language

EN