Intelligent classification of computer vulnerabilities and network security management system: Combining memristor neural network and improved TCNN model.

ABSTRACT: To enhance the intelligent classification of computer vulnerabilities and improve the efficiency and accuracy of network security management, this study delves into the application of a comprehensive classification system that integrates the Memristor Neural Network (MNN) and an improved Temporal Convolutional Neural Network (TCNN) in network security management. This system not only focuses on the precise classification of vulnerability data but also emphasizes its core role in strengthening the network security management framework. Firstly, the study designs and implements a neural network model based on memristors. The MNN, by simulating the memory effect of biological neurons, effectively captures the complex nonlinear relationships within vulnerability data, thereby enhancing the dat

SUBMITTER: Liu Z 

PROVIDER: S-EPMC11771930 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature