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作 者:DiWu ZhishengLiu YongxinFeng GuangxingWang
机构地区:[1]DepartmentofComputerScience&Engineering,DalianUniversityofTechnology,Dalian116023 [2]InstituteofComputerCommunicationandNetwork,ShenyangInstituteofTechnology,Shenyang110016 [3]ResearchCenterforNetworkandCommunication,NortheasternUniversity,Shenyang110004
出 处:《计算机工程与应用》2004年第29期122-125,共4页Computer Engineering and Applications
基 金:ThisprojectissupportedbytheNational863HighTechnologyResearchandDevelopmentProgram(No.2003AA712032)
摘 要:There are inherent vulnerabilities that are not easily preventable in the mobile Ad-Hoc networks.To build a highly secure wireless Ad-Hoc network,intrusion detection and response techniques need to be deployed;The intrusion detection and cluster-based Ad-Hoc networks has been introduced,then,an architecture for better intrusion detection based on cluster using Data Mining in wireless Ad -Hoc networks has been shown.A statistical anomaly detection approach has been used.The anomaly detection and trace analysis have been done locally in each node and possibly through cooperation with clusterhead detection in the network.There are inherent vulnerabilities that are not easily preventable in the mobile Ad-Hoc networks.To build a highly secure wireless Ad-Hoc network,intrusion detection and response techniques need to be deployed;The intrusion detection and cluster-based Ad-Hoc networks has been introduced,then,an architecture for better intrusion detection based on cluster using Data Mining in wireless Ad -Hoc networks has been shown.A statistical anomaly detection approach has been used.The anomaly detection and trace analysis have been done locally in each node and possibly through cooperation with clusterhead detection in the network.
关 键 词:入侵检测 移动AD-HOC网络 数据挖掘 网络安全 聚类检测
分 类 号:TN929.5[电子电信—通信与信息系统] TN915.08[电子电信—信息与通信工程]
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