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Using linkography to understand cyberattacks

Fisher, Andrew N.; Kent, Carson; Zage, David J.; Jarocki, John C.

In the realm of cyber security, recent events have demonstrated the need for a significant change in the philosophies guiding the identification and mitigation of attacks. The unprecedented increase in the quantity and sophistication of cyber attacks in the past year alone has proven the inadequacy of current defensive philosophies that do not assume continuous compromise. This has given rise to new perspectives on cyber defense where, instead of total prevention, threat intelligence is the crucial tool allowing the mitigation of cyber threats. This paper formalizes a new framework for obtaining threat intelligence from an active cyber attack and demonstrates the realization of this framework in the software tool, LinkShop. Specifically, using the behavioral analysis technique known as linkography, our framework allows cyber defenders to, in an automated fashion, quantitatively capture both general and nuanced patterns in attacker's behavior - pushing capabilities for generating threat intelligence far beyond what is currently possible with rudimentary indicators of compromise and into the realm of capability needed to combat future cyber attackers. Furthermore, this paper shows in detail how such knowledge can be achieved by using LinkShop on actual cyber event data and lays a foundation for further scientific investigation into cyber attacker behavior.