53. The non-transitory computer-readable medium of claim 52 , wherein the one or more representations of acceptable network traffic comprise a plurality of representations of acceptable operations or events, and wherein training at least one of the one or more scoring algorithms to score target operations or events using the one or more representations of acceptable network traffic comprises: parsing the plurality of representations of acceptable operations or events into a plurality of parse trees; and generating a pattern-matching tree that is an isomorphism between two or more of the plurality of parse trees and represents a unification of the two or more parse trees.
53. The non-transitory computer-readable medium of claim 52 , wherein the one or more representations of acceptable network traffic comprise a plurality of representations of acceptable operations or events, and wherein training at least one of the one or more scoring algorithms to score target operations or events using the one or more representations of acceptable network traffic comprises: parsing the plurality of representations of acceptable operations or events into a plurality of parse trees; and generating a pattern-matching tree that is an isomorphism between two or more of the plurality of parse trees and represents a unification of the two or more parse trees. 54. The non-transitory computer-readable of claim 53 , wherein generating one or more scores for the one or more operations or events using a plurality of scoring algorithms comprises generating a score for a target operation or event using the at least one scoring algorithm by: parsing a representation of the target operation or event into a target parse tree; computing a tree-edit distance comprising a minimum number of edits necessary to unify the target parse tree with the pattern-matching tree; and, based on the tree-edit distance, generating a scalar value indicating a probability that the target operation or event represents a malicious attack or nominal application variability.