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it introduces the gated cyclic unit neural network model. It uses pruning operations to realize the lightweight of the model and build an intrusion detection model. The results showed that the ...

This project focuses on developing an Intrusion Detection System (IDS) using Machine Learning (ML) and Deep Learning (DL) techniques to identify malicious network traffic in IoT-enabled smart homes.

It also constructs a campus network security intrusion detection model based on feature segmentation and deep learning. Through experimental verification, the effectiveness of the system in intrusion ...

A well-structured modular design is essential for building ... The right protocol choice can drastically impact system responsiveness, energy efficiency, and overall user experience. Protocol ...

Machine learning has revolutionized fraud detection by offering dynamic, data-driven approaches that surpass traditional rule-based systems. With its ability to process vast datasets in real time, ...

Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT ...