科技创新与应用2025，Vol.15Issue(16)：39-43,5.DOI:10.19981/j.CN23-1581/G3.2025.16.009
船岸通信网络恶意攻击与异常检测模块设计
李永杰 1沈琼 1周锟 1张瑞1
作者信息
- 1. 震兑工业智能科技有限公司,广东 深圳 518000
- 折叠
摘要
Abstract
With the improvement of ship informatization and intelligence,the security of ship-shore communication networks has drawn much attention.Aiming at the frequent malicious attacks and abnormal behaviors in ship-shore communication networks,this paper designs an efficient and practical malicious attack and abnormal detection module.This module is based on advanced machine learning and data analysis technology to achieve accurate detection of malicious attacks and abnormal behaviors through real-time monitoring and feature extraction of network traffic.Application case results show that this module can detect and respond to potential security threats in a timely manner,effectively ensuring the safe and stable operation of ship-shore communication networks.关键词
船岸通信/网络恶意攻击/异常检测/机器学习/数据分析技术Key words
ship-shore communication/network malicious attacks/anomaly detection/machine learning/data analysis technology分类
交通工程引用本文复制引用
李永杰,沈琼,周锟,张瑞..船岸通信网络恶意攻击与异常检测模块设计[J].科技创新与应用,2025,15(16):39-43,5.
