第36卷第2期2023年2月传感技术学报CHINESEJOURNALOFSENSORSANDACTUATORSVol.36No.2Feb.2023项目来源:国家自然科学基金项目(61373126);中央高校基本科研业务费专项资金项目(JUSRP51510);江苏省自然科学基金项目(BK20131107)收稿日期:2022-02-22修改日期:2022-05-18GlobalTrustIntrusionDetectionBasedonAttributeChangeRateinIWSN*LIChuang1,SUNZiwen1,2*(1.SchoolofInternetofThingsEngineering,JiangnanUniversity,WuxiJiangsu214122,China;2.MOEEngineeringResearchCenterofInternetofThingsTechnologyApplications,WuxiJiangsu214122,China)Abstract:Inordertoimprovetheaccuracyandreducetheenergyconsumptionofintrusiondetectioninindustrialwirelesssensornet-works,aglobaltrustintrusiondetectionalgorithmbasedonattributechangerateisdesigned.Theglobaltrustvalueofthenodeisob-tainedthroughtheattributechangeratetodetecttheattack.Theoptimalclusterheadsetisselectedbyusingartificialbeecolonyalgo-rithmtoensurethehighreliabilityofclusterheadandreducetheenergyconsumptionofthewholenetwork.Thetrustofthetemporarilyfailednodeisrestoredthroughthetrustrecoverymechanismtoreducethefalsealarmrate.Experimentsshowthatthisschemehashighdetectionrateandlowfalsealarmrate,andcanprolongthelifecycleofthenetwork.Keywords:industrialwirelesssensornetworks;intrusiondetection;artificialbeecolony;globaltrust;trustrecoveryEEACC:7230doi:10.3969/j.issn.1004-1699.2023.02.018IWSN中基于属性变化率的全局信任入侵检测*李创1,孙子文1,2*(1.江南大学物联网工程学院,江苏无锡214122;2.物联网技术应用教育部工程研究中心,江苏无锡214122)摘要:为提高工业无线传感器网络的入侵检测的精度和降低检测能耗,设计了基于属性变化率的全局信任入侵检测算法。通过属性变化率获取节点的全局信任值以检测攻击;通过人工蜂群算法选择最优簇头集以确保簇头的高可信度和降低网络整体的能耗;通过信任恢复机制恢复临时故障节点的信任,以降低虚警率。实验证明本方案具有较高的检测率和较低的虚警率,并能延长网络的生命周期。关键词:工业无线传感器网络;入侵检测;人工蜂群算法;全局信任;信任恢复中图分类号:TP393文献标识码:A文章编号:1004-1699(2023)02-0294-07工业无线传感器网络(Industr...