基于免疫度的无线传感器网络动态入侵检测模型

Jianhua Zhao, Ning Liu
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引用次数: 0

摘要

为了提高无线传感器网络的安全性,本文设计了一种基于动态免疫的无线传感器网络入侵检测模型。该模型主要实现了检测器的生成和抗原检测。在抗原检测过程中,引入自我模型类来过滤自身元素,减少检测器的工作量。在检测器生成过程中,模型实现了自集合的动态演化、非成熟检测器、成熟检测器和记忆检测器的动态演化。同时,采用疫苗提取和接种技术,提高抗体的多样性。仿真结果表明,该模型具有较好的检测率和较低的能耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Dynamic Intrusion Detection Model Based on Immunity for Wireless Sensor Network
To improve the security of wireless sensor network (WSN), this paper designed a dynamic immunity-based intrusion detection model for WSN. The model mainly achieved the generation of detector and antigen detection. In the process of antigen detection, the self model class was introduced to filter self element and reduce the workload of the detector. In the process of detector generation, the model realized the dynamic evolution of self set, the dynamic evolution of non-mature detector, mature detector and the memory detector. At the same time, vaccine extraction and vaccination technology was applied to improve the diversity of antibodies. Simulation results showed that the model had good detection rate and low energy consumption.
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