摘要
针对无线传感器网络自身特殊性和路由协议面临的攻击类型,提出了一个基于灰理论的分布联合的攻击检测模型(GADM)。该模型利用灰理论建模所需数据较少的特点,结合各节点分担检测任务的方法,可节约检测攻击行为所需耗能。通过各节点的数据采集、分析和节点间的联合检测与响应,预测攻击行为的发生,建立适合无线传感器网络特性的攻击行为预测模型,提高了路由协议的安全性,给出了检测模型框架和建模算法具体步骤,仿真实验证明该模型是有效的。
To the specific features of wireless sensor network and attack models met with routing protocols, this paper presents an attack detection model of combined distribution based on grey theory（GADM）. Utilizing features of grey theory that less data is needed in model construction, and method that each node undertakes detection tasks, this model will save energy consumed in attack detection. Through data collection and analysis on each node and combined detection and response between nodes, attack behavior can be forecasted and a forecasting model on attacks for wireless network is constructed, therefore security of routing protocols is effectively improved. It provides frameworks of the attack detection model and specific process of formulation for constructing the model. An emulation experiment proves the affectivity of the model.
出处
《计算机工程》
CAS
CSCD
北大核心
2007年第2期117-119,共3页
Computer Engineering
基金
国家自然科学基金资助项目(60573050)
关键词
无线传感器网络
路由协议
攻击检测
模型
灰论
Wireless sensor networs
Routing protocol
Attack detection
Model
Grey theory
