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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Risk-Based Models of Attacker Behavior in Cybersecurity
verfasst von : Si Li, Ryan Rickert, Amy Sliva
Erschienen in: Social Computing, Behavioral-Cultural Modeling and Prediction
Verlag: Springer Berlin Heidelberg
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Even as reliance on information and communication technology networks continues to grow, and their potential security vulnerabilities become a greater threat, very little is known about the humans who perpetrate cyber attacks—what are their strategies, resources, and motivations? We present a new framework for modeling such cyber attackers. Utilizing observable information (i.e., network alerts, security implementations, systems logs), we can characterize attackers based on the risk they are willing to incur and delineate them based on skill level. These classifications can facilitate decision-making and resource allocation to counteract cybersecurity incidents. We look at two specific models of attacker risk and discuss empirical results from a prototype implementation of this modeling framework using real-world network data.