Invention Grant
- Patent Title: Systems and methods for network security memory reduction via distributed rulesets
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Application No.: US15702613Application Date: 2017-09-12
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Publication No.: US10432670B2Publication Date: 2019-10-01
- Inventor: Dejan Nenov
- Applicant: Fortress Cyber Security, LLC
- Applicant Address: US FL Orlando
- Assignee: Fortress Cyber Security, LLC
- Current Assignee: Fortress Cyber Security, LLC
- Current Assignee Address: US FL Orlando
- Agency: Foley & Lardner LLP
- Main IPC: H04L29/06
- IPC: H04L29/06 ; H04L29/08

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.
Public/Granted literature
- US20180109562A1 SYSTEMS AND METHODS FOR NETWORK SECURITY MEMORY REDUCTION VIA DISTRIBUTED RULESETS Public/Granted day:2018-04-19
Information query