基于成本敏感遗传算法的WSN入侵安全检测研究Research on WSN intrusion security detection based on cost sensitive genetic algorithm
李国庆
摘要(Abstract)：
为了降低WSN入侵检测过程中的能量成本消耗,提高入侵检测的准确率,提出一种基于成本敏感遗传算法的WSN入侵检测方法。阐述了WSN入侵检测中的成本敏感思想,将每一个无线传感器入侵检测的准确率、入侵检测消耗时间和相对应的成本总值作为基础,并利用成本敏感遗传算法构建WSN入侵检测的优化模型,在此基础上进行遗传操作,用于解决WSN入侵检测过程中对各传感器检测的持续时间、检测准确率和检测消耗的能量成本的优化配置问题,从而为WSN入侵检测中的能量成本控制提供准确的依据。仿真实验结果表明,利用改进算法进行WSN入侵检测,能够减少入侵检测时的能量成本,同时提高检测的准确率,效果令人满意。
关键词(KeyWords)： 成本敏感;遗传算法;传感器;准确率;WSN;入侵
基金项目(Foundation): 国家自然科学基金面上项目:面向物联网的煤矿瓦斯时空异常探测启发式模型与可靠性编码方法研究(61379100)~~
作者(Author): 李国庆
DOI: 10.16652/j.issn.1004-373x.2018.05.008
参考文献(References)：
- [1]于仁清,何波贤,关越巍,等.基于供应链管理的机载导航设备库存控制研究[J].电子设计工程,2015,45(17):141-143.YU Renqing,HE Boxian,GUAN Yuewei,et al.Stock control research of airborne navigation equipment based on SCM[J].Electronic design engineering,2015,45(17):141-143.
- [2]杨建,刘述木,黎远松.一种基于改进遗传算法的WSN负载均衡聚类算法[J].西南师范大学学报(自然科学版),2015,25(10):41-48.YANG Jian,LIU Shumu,LI Yuansong.A load balancing clustering algorithm based on improved genetic algorithm in WSN[J].Journal of Southwest China Normal University(natural science edition),2015,25(10):41-48.
- [3]易猛,陈庆奎,章刚.UGA:基于遗传算法的WSN动态覆盖优化算法[J].计算机工程与应用,2015,51(20):77-80.YI Meng,CHEN Qingkui,ZHANG Gang.UGA:WSN dynamic coverage optimization algorithm based on improved genetic algorithm[J].Computer engineering and applications,2015,51(20):77-80.
- [4]张羽.基于SOM-GA-SVM的网络入侵检测研究[J].网络安全技术与应用,2014,32(4):140-141.ZHANG Yu.Research on network intrusion detection based on SOM-GA-SVM[J].Network security technology&application,2014,32(4):140-141.
- [5]许必宵,张欣慧,徐晶晶.基于改进遗传算法PFGA的WSN节点定位优化[J].南京邮电大学学报(自然科学版),2016,36(3):92-99.XU Bixiao,ZHANG Xinhui,XU Jingjing.Optimized localization in WSN based on improved genetic algorithm PFGA[J].Journal of Nanjing University of Posts and Telecommunications(natural science),2016,36(3):92-99.
- [6]何常胜,赵小河,陈安.基于遗传算法和后代校正的WSN覆盖和连通性优化方案[J].湘潭大学自然科学学报,2016,38(2):89-93.HE Changsheng,ZHAO Xiaohe,CHEN An.WSN coverage and connectivity optimization scheme based on genetic algorithm and offspring correction[J].Journal of Xiangtan University(natural science),2016,38(2):89-93.
- [7]张晶,薛冷,容会.基于GA优化BP神经网络的WSN数据融合技术研究[J].山西大学学报(自然科学版),2015,38(2):185-191.ZHANG Jing,XUE Leng,RONG Hui.Data fusion based on the GA-BP neural networks in WSNs[J].Journal of Shanxi University(natural science edition),2015,38(2):185-191.
- [8]刘章,谭阳.改进遗传算法的WSN节点最优路由选择策略[J].计算机工程与应用,2015,51(13):101-105.LIU Zhang,TAN Yang.Routing selecting strategy based on improved genetic algorithm for wireless sensor networks[J].Computer engineering and applications,2015,51(13):101-105.
- [9]夏俊,凌培亮,虞丽娟.基于量子遗传算法的无线传感网络路由优化[J].同济大学学报(自然科学版),2015,43(7):1097-1103.XIA Jun,LING Peiliang,YU Lijuan.Routing optimization on wireless sensor networks based on quantum genetic algorithm[J].Journal of Tongji University(natural science),2015,43(7):1097-1103.