文章基本信息

标题：Dominant Features Identification for Covert Nodes in 9/11 Attack Using their Profile
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作者：S.Karthika ; A.Kiruthiga ; S.Bose 等
期刊名称：International Journal of Network Security & Its Applications
印刷版ISSN：0975-2307
电子版ISSN：0974-9330
出版年度：2012
卷号：4
期号：4
DOI：10.5121/ijnsa.2012.440693
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In recent days terrorism poses a threat to homeland security. The major problem faced in network analysis is to automatically identify the key player who can maximally influence other nodes in a large relational covert network. The existing centrality based and graph theoretic approach are more concerned about the network structure rather than the node attributes. In this paper an unsupervised framework SoNMine has been developed to identify the key players in 9/11 network using their behavioral profile. The behaviors of nodes are analyzed based on the behavioral profile generated. The key players are identified using the outlier analysis based on the profile and the highly communicating node is concluded to be the most influential person of the covert network. Further, in order to improve the classification of a normal and outlier node, intermediate reference class R is generated. Based on these three classes the mo st dominating feature set is determined which further helps to accurately justify the outlier nodes
关键词：Social Network Analysis (S NA); Terrorism; Behavioral profile; Outlier Analysis; Dominant feature set.