传感技术学报2024,Vol.37Issue(12) :2148-2152.DOI:10.3969/j.issn.1004-1699.2024.12.020

面向无线传感网络的涉密信息安全动态预警方法

Dynamic Early Warning Method of Classified Information Security for Wireless Sensor Networks

沈伍强 梁哲恒 张金波 沈桂泉 伍江瑶
传感技术学报2024,Vol.37Issue(12) :2148-2152.DOI:10.3969/j.issn.1004-1699.2024.12.020

面向无线传感网络的涉密信息安全动态预警方法

Dynamic Early Warning Method of Classified Information Security for Wireless Sensor Networks

沈伍强 1梁哲恒 2张金波 2沈桂泉 2伍江瑶2
扫码查看

作者信息

  • 1. 广东电网有限责任公司信息中心,广东 广州 510000;华南理工大学计算机科学与工程学院,广东 广州 510000
  • 2. 广东电网有限责任公司信息中心,广东 广州 510000;南方电网网络空间安全联合实验室信息中心,广东 广州 510000
  • 折叠

摘要

无线传感网络采用分布式控制方法,静态安全机制无法适应动态环境下的安全需求,并且无法实时响应安全威胁.为此,提出一种面向无线传感网络的涉密信息安全动态预警方法.利用二进制算法选取传感网络节点中的历史特征信息子集并对其进行编码,根据类内离散度和类间离散度的比值,选择不变的历史入侵信息传感数据特征.将入侵信息预设为动态观测序列,利用前向算法计算出无线传感网络所处的安全状态值,结合该值完成安全性动态预警.仿真结果表明,所提方法的数据篡改捕获率始终在97%以上、平均绝对误差及相对均方误差低于0.35、均方根误差小于1.35,能够有效动态预警,保护无线传感网络安全.

Abstract

Wireless sensor networks adopt distributed control methods,and static security mechanisms cannot adapt to security require-ments in dynamic environments and cannot respond to security threats in real time.To this end,a dynamic warning method for classified information security in wireless sensor networks is proposed.Binary algorithms are used to select a subset of historical feature informa-tion from sensor network nodes and encode it,based on the ratio of intra class and inter class dispersion,invariant historical intrusion in-formation sensing data features are selected.The intrusion information is preset as a dynamic observation sequence,the forward algorithm is used to calculate the security state value of the wireless sensor network,and dynamic security warning is completed based on this value.The simulation results show that the data tamper capture rate of the proposed method is always above 97%,the average absolute error and relative mean square error are less than 0.35,and the root mean square error is less than 1.35,which can effectively perform dynamic alert and protect the security of wireless sensor networks.

关键词

无线传感网络/涉密信息动态预警/前向算法/类内离散度/类间离散度/历史入侵信息/异常链路

Key words

wireless sensor network/dynamic warning of classified information/forward algorithm/within-class scatter/interclass disper-sion/historical intrusion information/abnormal link

引用本文复制引用

出版年

2024
传感技术学报
东南大学 中国微米纳米技术学会

传感技术学报

CSTPCDCSCD北大核心
影响因子:1.276
ISSN:1004-1699
段落导航相关论文