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US Patent 11973774 Multi-stage anomaly detection for process chains in multi-host environments

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Is a
Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119737740
Patent Inventor Names
Euan Miller McLean0
Date of Patent
April 30, 2024
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Patent Application Number
171871920
Date Filed
February 26, 2021
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Patent Citations
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US Patent 10673880 Anomaly detection to identify security threats
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US Patent 10701093 Anomaly alert system for cyber threat detection
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US Patent 6965968 Policy-based caching
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US Patent 7307999 Systems and methods that identify normal traffic during network attacks
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US Patent 7418731 Method and system for caching at secure gateways
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US Patent 7448084 System and methods for detecting intrusions in a computer system by monitoring operating system registry accesses
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US Patent 7890869 Network security visualization methods, apparatus and graphical user interfaces
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US Patent 8312540 System for slowing password attacks
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...
Patent Primary Examiner
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Lynn D. Feild
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CPC Code
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H04L 63/1433
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H04L 63/1425
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G06N 3/049
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G06N 20/00
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H04L 63/1416
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Patent abstract

A multi-stage anomaly detector analyzes an anomalous process chain in real time and rapidly determines whether the process chain is indicative of a cyber threat on an endpoint computing device in a multi-host environment. The multi-stage anomaly detector is used in an analyzer module configured within a host endpoint agent on that device. The analyzer module generates an anomaly score to correlate a likelihood that the cyber threat detected is harmful to that device. The multi-stage anomaly detector includes multiple stages of anomaly detectors including a first stage, a second stage, and a third stage of the anomaly detectors. Each stage generates its own anomaly score to produce at least one rapidly determined anomaly score as well as one thoroughly determined anomaly score. Each anomaly score is generated from various computational processes and factors different from the computational processes and factors of the other stages of anomaly detectors.

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