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US Patent 7624448 Intelligent intrusion detection system utilizing enhanced graph-matching of network activity with context data

Patent 7624448 was granted and assigned to 21st Century Technologies, Inc. on November, 2009 by the United States Patent and Trademark Office.

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Patent
Patent

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Current Assignee
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21st Century Technologies, Inc.
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
7624448
Date of Patent
November 24, 2009
Patent Application Number
11367943
Date Filed
March 4, 2006
Patent Citations Received
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US Patent 12130923 Methods and apparatus for augmenting training data using large language models
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US Patent 12079757 Endpoint with remotely programmable data recorder
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US Patent 12093383 Tracking malware root causes with an event graph
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US Patent 12132753 Enhanced network security based on inter-application data flow diagrams
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US Patent 11770387 Graph-based detection of lateral movement in computer networks
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US Patent 11841954 Systems and methods for automated threat modeling when deploying infrastructure as a code
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US Patent 11856016 Systems and methods for controlling declutter of a security events graph
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US Patent 11941054 Iterative constraint solving in abstract graph matching for cyber incident reasoning
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Patent Primary Examiner
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Pramila Parthasarathy
Patent abstract

A method, system, and computer program product for utilizing a mapping of activity occurring at and between devices on a computer network to detect and prevent network intrusions. An enhanced graph matching intrusion detection system (eGMIDS) is provided that provides data collection functions, data fusion techniques, graph matching algorithms, and secondary and other search mechanisms. Threats are modeled as a set of entities and interrelations between the entities and sample threat patterns are stored within a database. The eGMIDS utility initiates a graph matching algorithm by which the threat patterns are compared within the generated activity graph via subgraph isomorphism. A multi-layered approach including a targeted secondary layer search following a match during a primary layer search is provided. Searches are tempered by attributes and constraints and the eGMIDS reduces the number of threat patterns searched by utilizing ontological generalization.

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