Combined Banzhaf & Diversity Index (CBDI) for critical node detection

详细信息    查看全文

• 作者：Waqar Asif^a ; ^b ; ^{09mscsewasif@seecs.edu.pk" class="auth_mail" title="E-mail the corresponding author} ; Hassaan Khaliq Qureshi^a ; ^{hassaan.khaliq@seecs.edu.pk" class="auth_mail" title="E-mail the corresponding author} ; Muttukrishnan Rajarajan^b ; ^{r.muttukrishnan@city.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; Marios Lestas^c ; ^{eng.lm@frederick.ac.cy" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Node criticality ; Network vulnerability ; Weighted node degree ; Banzhaf power index ; Algebraic connectivity
• 刊名：Journal of Network and Computer Applications
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：64
• 期：Complete
• 页码：76-88
• 全文大小：3498 K

文摘

Critical node discovery plays a vital role in assessing the vulnerability of a computer network to malicious attacks and failures and provides a useful tool with which one can greatly improve network security and reliability. In this paper, we propose a new metric to characterize the criticality of a node in an arbitrary computer network which we refer to as the Combined Banzhaf & Diversity Index (CBDI). The metric utilizes a diversity index which is based on the variability of a node׳s attributes relative to its neighbours and the Banzhaf power index which characterizes the degree of participation of a node in forming shortest paths. The Banzhaf power index is inspired from the theory of voting games in game theory. The proposed metric is evaluated using analysis and simulations. The criticality of nodes in a network is assessed based on the degradation in network performance achieved when these nodes are removed. We use several performance metrics to evaluate network performance including the algebraic connectivity which is a spectral metric characterizing the connectivity robustness of the network. Extensive simulations in a number of network topologies indicate that the proposed CBDI index chooses more critical nodes which, when removed, degrade network performance to a greater extent than if critical nodes based on other criticality metrics were removed.