基于多源异构数据融合分析技术的激光通信网络钓鱼检测
Phishing detection in laser communication based on multi-source heterogeneous data fusion analysis technology
徐欢潇 1陈虹云 1吴芳 1钱兰美1
作者信息
- 1. 南通理工学院计算机与信息工程学院,江苏南通 226019
- 折叠
摘要
网络钓鱼对激光通信网络的应用带来较大危险,为保障激光通信网络应用安全,提出基于多源异构数据融合分析技术的激光通信网络钓鱼检测方法.首先采集激光通信网络钓鱼特征,采用D-S证据理论融合不同来源、不同结构的激光通信网络钓鱼特征数据,然后根据特下数,采用支持向量机检测设计激光通信网络钓鱼检测模型,最后进行了仿真实验,结果表明,该方法可有效提取并准确融合钓鱼特征数据,激光通信网络钓鱼检测激光通信网络钓鱼检测准确率超过95％,降低激光通信网络安全风险.
Abstract
phishing brings great danger to the application of laser communication network.In order to ensure the security of laser communication network application,a laser communication phishing detection method based on multi-source heterogeneous data fusion analysis technology is proposed.First,collect the characteristics of laser communica-tion phishing,use D-S evidence theory to fuse the characteristics of laser communication phishing data from different sources and structures,then use support vector machine to detect and design the detection model of laser communica-tion phishing according to the special number,and finally carry out a simulation experiment.The results show that this method can effectively extract and accurately fuse the phishing feature data,Laser communication phishing detection The accuracy rate of laser communication phishing detection exceeds 95％,reducing the security risk of laser communi-cation network.
关键词
多源异构数据/数据融合/激光通信网络/钓鱼检测/D-S证据理论/支持向量机Key words
multi-source heterogeneous data/data fusion/laser communication network/fishing detection/D-S evidence theory/support vector machine引用本文复制引用
基金项目
江苏省高等学校基础科学(自然科学)研究面上项目(22KJD520009)
出版年
2024
NETL
NSTL
万方数据