福建电脑2024，Vol.40Issue(6)：59-63,5.DOI:10.16707/j.cnki.fjpc.2024.06.010
深度学习在恶意IP识别中的应用
The Application of Deep Learning in Malicious IP Identification
林峰1
作者信息
- 1. 宁德市住房公积金管理中心信息技术科 福建 宁德 352100
- 折叠
摘要
Abstract
In order to enhance network security defense capabilities,deep learning techniques can be applied to improve the accuracy of identifying malicious IPs.This article introduces how to apply feedforward neural networks in deep learning to construct a malicious IP recognition model.The results of empirical analysis show that the malicious IP identification model based on deep learning technology exhibits higher accuracy and real-time performance,providing an effective solution for malicious IP identification in the field of network security.关键词
恶意IP识别/深度学习/网络安全/前馈神经网络Key words
Malicious IP Recognition/Deep Learning/Network Security/Feedforward Neural Network分类
信息技术与安全科学引用本文复制引用
林峰..深度学习在恶意IP识别中的应用[J].福建电脑,2024,40(6):59-63,5.
