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In the past decade, the information security and threat landscape has grownsignificantly making it difficult for a single defender to defend against allattacks at the same time. This called for introduc- ing information sharing, aparadigm in which threat indicators are shared in a community of trust tofacilitate defenses. Standards for representation, exchange, and consumption ofindicators are pro- posed in the literature, although various issues areundermined. In this paper, we rethink information sharing for actionableintelli- gence, by highlighting various issues that deserve further explo-ration. We argue that information sharing can benefit from well- defined usemodels, threat models, well-understood risk by mea- surement and robustscoring, well-understood and preserved pri- vacy and quality of indicators androbust mechanism to avoid free riding behavior of selfish agent. We call forusing the differential nature of data and community structures for optimizingsharing.

Rethinking Information Sharing for Actionable Threat Intelligence