Systems and methods for network security memory reduction via distributed rulesets
Abstract:
The present disclosure describes systems and methods for reducing rule set sizes via statistical redistribution throughout a plurality of network security appliances. A rule set may be generated for each security appliance that includes (i) a first set of rules based on known attacks, identified as rules for mandatory inclusion in the rule set; and (ii) a subset of the second set of rules, identified as rules for potential inclusion in the rule set, selected randomly according to a distribution percentage, score, or weight for each potentially included rule. Higher scored rules, which may be more likely vectors for potential attack, may be distributed to a greater number of appliances; while lower scored rules that may be less likely or represent more speculative attacks may be distributed to fewer appliances.
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