Attribution Under Ambiguity: Using Bayesian ML to Assign Cyber Operations to State Actors
How Bayesian machine learning models improve cyber attribution by quantifying uncertainty across competing hypotheses when evidence is fragmentary and adversaries actively deceive.
R. Tanaka