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US Patent 10909241 Event anomaly analysis and prediction

Patent 10909241 was granted and assigned to Accenture on February, 2021 by the United States Patent and Trademark Office.

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Accenture
Accenture
Current Assignee
Accenture
Accenture
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10909241
Date of Patent
February 2, 2021
Patent Application Number
16025590
Date Filed
July 2, 2018
Patent Citations
‌
US Patent 10560487 Intrusion detection and mitigation in data processing
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US Patent 10009358 Graph based framework for detecting malicious or compromised accounts
Patent Citations Received
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US Patent 12088473 Method, device and system for enhancing predictive classification of anomalous events in a cloud-based application acceleration as a service environment
5
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US Patent 11855968 Methods and systems for deep learning based API traffic security
6
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US Patent 11924170 Methods and systems for API deception environment and API traffic control and security
7
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US Patent 11496475 Methods and systems for data traffic based adaptive security
‌
US Patent 11582199 Scalable proxy clusters
‌
US Patent 11641343 Methods and systems for API proxy based adaptive security
12
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US Patent 11750638 Server-based anomaly and security threat detection in multiple ATMs
‌
US Patent 11783033 Methods and apparatus for analyzing sequences of application programming interface traffic to identify potential malicious actions
...
Patent Primary Examiner
‌
Khang Do
Patent abstract

According to an example, event anomaly analysis and prediction may include accessing a master directed graph that specifies known events and transitions between the known events, and ranking each of the known events. Each of the ranked known events may be clustered into a plurality of anomaly categories. A plurality of rules to analyze new events may be determined based on the plurality of anomaly categories. A determination may be made, based on an application of the plurality of rules to data that is to be analyzed for an anomaly, whether the data includes the anomaly. In response to a determination that the data includes the anomaly, a device associated with the data may be controlled.

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