Security analysis evaluates proactive cyberattack prediction across organizations, highlighting methods to forecast adversary actions without disclosing sensitive network postures.
Modern defenses against cyberattacks increasingly rely on proactive approaches, e.g., to predict the adversary's next actions based on past events. Building accurate prediction models requires knowledge from many organizations; alas, this entails disclosing sensitive information, such as network structures, security postures, and policies, which might often be undesirable or outright impossible.
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Naseri et al. (2022) studied this question.
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