基于网格划分的无线通信网络虫洞攻击检测
Detecting Wormhole Attacks in Wireless Communication Network Based on Grid Division
周跃1
作者信息
- 1. 安徽工业职业技术学院 信息工程系,安徽 铜陵 244000;菲律宾莱康大学,马洛洛斯 布拉干 3000
- 折叠
摘要
针对虫洞攻击漏检率较高的问题,提出基于网格划分的无线通信网络虫洞攻击检测方法.利用数据采集程序采集无线通信网络实时数据,筛选出其中的虫洞攻击数据,并对虫洞攻击数据进行数据补充、数据过滤和数据归一化处理.提取预处理后的数据特征,在网格划分的支持下,确定虫洞攻击的位置,通过设定的特征阈值,实现虫洞攻击检测.实验结果表明,所提网格划分方法漏检率仅为4.5%,检测准确度较高.
Abstract
A grid partitioning based method for detecting wormhole attacks in wireless communication net-work is proposed to address the high rate of missed detections in wormhole attacks.Use a data collection program to collect real-time data from wireless communication networks,filter out wormhole attack data,and supplement,filter,and normalize the wormhole attack data.Extract preprocessed data features,with the support of grid parti-tioning,determine the location of wormhole attacks,and achieve wormhole attack detection through the set fea-ture threshold.The experimental results show that the proposed grid partitioning method has a missed detection rate of only 4.5%and high detection accuracy.
关键词
网格划分/无线通信网络/网络攻击/虫洞攻击/攻击检测Key words
grid partitioning/wireless communication network/network attacks/wormhole attacks/attack detection引用本文复制引用
基金项目
安徽省质量工程项目(2022jyxm214)
安徽省高等学校科研项目(2023AH053136)
出版年
2024
NETL
NSTL
万方数据