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公开(公告)号:US10484410B2
公开(公告)日:2019-11-19
申请号:US15653689
申请日:2017-07-19
Applicant: Cisco Technology, Inc.
Inventor: Enzo Fenoglio , Jérôme Tollet , Syed Muhammad Mohsin Kazmi , Hugo M. Latapie
Abstract: Presented herein are techniques for detecting anomalies in micro-service communications that are indicative of security issues/problems for the application. More specifically, a computing device receives a plurality of micro-service communication records each associated with traffic sent between pairs of executables (nodes) that are related to a micro-services application. Each of the micro-service communication records includes a time series entry and an associated trace sequence identifier and each of the micro-service communication records are generated during a time period. The computing device analyzes the plurality of micro-service communications to detect possible anomalous communication patterns associated with the micro-services application during the time period.
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公开(公告)号:US20190028496A1
公开(公告)日:2019-01-24
申请号:US15653689
申请日:2017-07-19
Applicant: Cisco Technology, Inc.
Inventor: Enzo Fenoglio , Jérôme Tollet , Syed Muhammad Mohsin Kazmi , Hugo M. Latapie
CPC classification number: H04L63/1425 , H04L43/026 , H04L43/12 , H04L63/14 , H04L63/1408 , H04L63/1433 , H04L63/1441 , H04L63/20
Abstract: Presented herein are techniques for detecting anomalies in micro-service communications that are indicative of security issues/problems for the application. More specifically, a computing device receives a plurality of micro-service communication records each associated with traffic sent between pairs of executables (nodes) that are related to a micro-services application. Each of the micro-service communication records includes a time series entry and an associated trace sequence identifier and each of the micro-service communication records are generated during a time period. The computing device analyzes the plurality of micro-service communications to detect possible anomalous communication patterns associated with the micro-services application during the time period.
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