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US Patent 10382461 System for determining anomalies associated with a request

Patent 10382461 was granted and assigned to Amazon on August, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Amazon
Amazon
Current Assignee
Amazon
Amazon
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10382461
Date of Patent
August 13, 2019
Patent Application Number
15165221
Date Filed
May 26, 2016
Patent Citations
‌
US Patent 10158658 System for determining network anomalies
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US Patent 10044729 Analyzing requests to an online service
Patent Citations Received
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US Patent 11868861 Offline security value determination system and method
0
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US Patent 11838381 Device cross-area access method, electronic device, and non-transitory computer-readable storage medium
0
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US Patent 11856029 Computer-implemented security methods and systems
0
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US Patent 11477095 Determining a service impact score for a metric according to a scope of the metric
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US Patent 10820196 Onboard network systems for passenger aircraft and methods of operating thereof
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US Patent 11593100 Autonomous release management in distributed computing systems
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US Patent 11647034 Service access data enrichment for cybersecurity
0
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US Patent 11710067 Offline security value determination system and method
0
Patent Primary Examiner
‌
Hee K Song
Patent abstract

Described are techniques for identifying anomalous and non-anomalous requests based on metric values determined from a request. Weights to be associated with particular metric values may be determined based on metric data for those values. The metric data may indicate a total number of accesses by requests having a particular metric value, a frequency of access, or particular access times. Based on the weight values and the metric values for the request, a security score for the request may be determined. The security score may indicate a confidence that the request is anomalous or non-anomalous. Potentially anomalous requests may be determined to be non-anomalous if the metric values correspond to known sets of metric values, determined from previous requests. In some cases, metric data may be normalized prior to use to facilitate faster queries and conserve available data storage.

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