@conference {34,
	title = {Classification of Attributes and Behavior in Risk Management Using Bayesian Networks},
	booktitle = {2007 IEEE International Conference on Intelligence and Security Informatics (ISI) },
	year = {2007},
	month = {05/2007},
	address = {New Brunswick, NJ},
	abstract = {<p>Security administration is an uphill task to implement in an enterprise network providing secured corporate services. With the slew of patches being released by network component vendors, system administrators require a barrage of tools for analyzing the risk due to vulnerabilities in those components. In addition, criticalities in patching some end hosts raises serious security issues about the network to which the end hosts are connected. In this context, it would be imperative to know the risk level of all critical resources keeping in view the everyday emerging new vulnerabilities. We hypothesize that sequence of network actions by attackers depends on their social and attack profile (behavioral resources such as skill level, time, and attitude). To estimate the types of attack behavior, we surveyed individuals for their ability and attack intent. Using the individuals{\textquoteright} responses, we determined their behavioral resources and classified them as having opportunist, hacker, or explorer behavior. The profile behavioral resources can be used for determining risk by an attacker having that profile. Thus, suitable vulnerability analysis and risk management strategies can be formulated to efficiently curtail the risk from different types of attackers.</p>
},
	keywords = {attack behaviour, attack graphs, attack intent, Bayesian network, behavior, belief networks, explorer behavior, hacker behavior, opportunist behavior, profile behavioral resource classification, risk management, Security, security administration, vulnerability analysis},
	doi = {10.1109/ISI.2007.379536},
	author = {Ram Dantu and Kolan, Prakash and Akl, Robert and Loper, Kall}
}
