WSNs入侵检测中实值否定选择算法研究

TP393.08; 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....

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Bibliographic Details
Published in计算机工程与科学 Vol. 38; no. 9; pp. 1818 - 1822
Main Author 张凤斌 杨秋杰 席亮
Format Journal Article
LanguageChinese
Published 哈尔滨理工大学计算机科学与技术学院,黑龙江哈尔滨,150080 2016
Subjects
人工免疫
否定选择
实值
无线传感器网络
实值
wireless sensor networks (WSNs)
artificial immune
negative selection
无线传感器网络
人工免疫
否定选择
real-value
Online AccessGet full text
ISSN1007-130X
DOI10.3969/j.issn.1007-130X.2016.09.012

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Summary:TP393.08; 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.
Bibliography:ZHANG Feng-bin, YANG Qiu jie, XI Liang （School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China）
43-1258/TP
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 detec- tion 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 be tween 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 posi-tive rate.
wireless sensor networks （WSNs）;artificial immune; negative selection; real-value
ISSN:1007-130X
DOI:10.3969/j.issn.1007-130X.2016.09.012