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US Patent 11611580 Malware infection detection service for IoT devices

Patent 11611580 was granted and assigned to Amazon on March, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Amazon
Amazon
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Current Assignee
Amazon
Amazon
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
116115800
Patent Inventor Names
Amit Jagannath Mhatre0
Nima Sharifi Mehr0
Date of Patent
March 21, 2023
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Patent Application Number
168070550
Date Filed
March 2, 2020
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Patent Citations
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US Patent 10880322 Automated tracking of interaction with a resource of a message
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US Patent 10193913 Joint anomaly detection across IOT devices
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US Patent 10282546 Systems and methods for detecting malware based on event dependencies
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US Patent 10868823 Systems and methods for discriminating between human and non-human interactions with computing devices on a computer network
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US Patent 11399035 Deep learning-based detection of phishing links
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Patent Citations Received
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US Patent 12003966 Local misbehavior prevention system for cooperative intelligent transportation systems
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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 63/145
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H04L 63/1425
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H04L 63/1416
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Various embodiments of apparatuses and methods for malware infection detection for edge devices, such as IoT (“Internet of Things”) devices, are described. In some embodiments, a malware infection detection service receives data from a plurality of edge devices of a remote network. It can identify a variety of different detection mechanisms to detect whether an edge device is potentially infected with malware, and determine confidence levels for the different detection mechanisms. Using the detection mechanisms with the received data, it can determine one or more findings that an edge device is potentially infected with malware. It can then determine a confidence level for each finding. It can then determine an accumulated confidence, based on the confidence levels of the detection mechanisms and the findings. The malware infection detection service might then identify one or more of the edge devices as potentially being infected by malware based on the accumulated confidence.

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