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US Patent 11483213 Enterprise process discovery through network traffic patterns

Patent 11483213 was granted and assigned to Accenture on October, 2022 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors

Contents

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
11483213
Date of Patent
October 25, 2022
Patent Application Number
16924489
Date Filed
July 9, 2020
Patent Citations
‌
US Patent 10447727 Predicting and addressing harmful or sensitive network activity
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US Patent 10084804 Optimizing security analyses in SaaS environment
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US Patent 10291645 Determining maliciousness in computer networks
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US Patent 10447721 Systems and methods for using multiple lateral movement strategies in penetration testing
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US Patent 10601854 Comprehensive risk assessment in a heterogeneous dynamic network
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US Patent 10642840 Filtered hash table generation for performing hash joins
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US Patent 10659488 Statistical predictive model for expected path length
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US Patent 10771492 Enterprise graph method of threat detection
...
Patent Citations Received
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US Patent 11973790 Cyber digital twin simulator for automotive security assessment based on attack graphs
0
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US Patent 11695795 Evaluating effectiveness of security controls in enterprise networks using graph values
0
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US Patent 11750657 Cyber digital twin simulator for security controls requirements
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US Patent 11757921 Leveraging attack graphs of agile security platform
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US Patent 11838310 Generating attack graphs in agile security platforms
0
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US Patent 11838307 Resource-efficient generation of analytical attack graphs
0
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US Patent 11876824 Extracting process aware analytical attack graphs through logical network analysis
0
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US Patent 11880250 Optimizing energy consumption of production lines using intelligent digital twins
0
...
Patent Primary Examiner
‌
Thomas J Dailey
CPC Code
‌
G06K 9/6219
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H04L 67/14
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H04L 67/22
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H04L 41/16
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G06K 9/6256
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G06N 20/00

Implementations of the present disclosure include executing, within a computer network, multiple instances of a process, each instance including a simulation of execution of the process within the computer network, receiving session datasets representative of sessions performed during execution of each instance of the process, generating a set of session traces, each session trace representing a sequence of sessions performed during an instance of the process within the computer network, processing the set of session traces using a clustering algorithm to cluster sessions of each session trace into two or more clusters, each cluster having an associated label, and providing a process model that generically represents multiple executions of the process within the computer network, the process model comprising a sequence of labels of the two or more clusters corresponding to session traces in the set of session traces.

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