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WSNs入侵检测中实值否定选择算法研究
引用本文:张凤斌,杨秋杰,席亮. WSNs入侵检测中实值否定选择算法研究[J]. 计算机工程与科学, 2016, 38(9): 1818-1822
作者姓名:张凤斌  杨秋杰  席亮
作者单位:;1.哈尔滨理工大学计算机科学与技术学院
基金项目:国家自然科学基金(61172168);黑龙江省教育厅科学技术研究项目(12541130)
摘    要:针对无线传感器网络免疫入侵检测中否定选择算法采用r-连续位二进制串匹配度作为亲和力,检测率低且无法反映WSNs在一段时间内的动态特性这一现象,提出采用RNS-WSNs算法,该算法用一段时间内属性值的变化率构成向量作为抗原和抗体,通过计算向量间的曼哈顿距离作为亲和力。在NS3上模拟WSNs进行实验,结果显示在能量消耗相当且误报率相同的情况下,RNS-WSNs算法具有更高的检测率。

关 键 词:无线传感器网络  人工免疫  否定选择  实值
收稿时间:2015-06-23
修稿时间:2016-09-25

A real-value negative selection algorithm in WSNs intrusion detections
ZHANG Feng-bin,YANG Qiu-jie,XI Liang. A real-value negative selection algorithm in WSNs intrusion detections[J]. Computer Engineering & Science, 2016, 38(9): 1818-1822
Authors:ZHANG Feng-bin  YANG Qiu-jie  XI Liang
Affiliation:(School of Computer Science and Technology,Harbin University of Science and Technology,Harbin 150080,China)
Abstract:The negative selection algorithm in intrusion detections (IDs) for wireless sensor networks (WSNs) generally adopts the r-continuous binary string matching mechanism, which leads to low detection rate and cannot reflect the dynamic features of WSNs in a period of time. Aiming at the problem, we present a real-value negative selection algorithm called RNS-WSNs, which uses the change rate of the attribute value during an interval of time as the antigen and antibody, and the Manhattan distance between the two vectors as the affinity. Simulation results on network simulator 3 show that the real-value negative selection algorithm has higher detection rate under the same energy consumption and false positive rate.
Keywords:wireless sensor networks (WSNs)  artificial immune  negative selection  real-value  
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