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US Patent 11979427 System and method for computation of ransomware susceptibility

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119794270
Patent Inventor Names
Candan Bolukbas0
Ferhat Dikbiyik0
Paul Paget0
Date of Patent
May 7, 2024
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Patent Application Number
179667910
Date Filed
October 15, 2022
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Patent Citations
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US Patent 9973524 Information technology security assessment system
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US Patent 10257219 Correlated risk in cybersecurity
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US Patent 10268976 Non-intrusive techniques for discovering and using organizational relationships
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US Patent 10425380 Methods for mapping IP addresses and domains to organizations using user activity data
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US Patent 10546135 Inquiry response mapping for determining a cybersecurity risk level of an entity
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US Patent 10893068 Ransomware file modification prevention technique
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US Patent 10949543 System and method for scalable cyber-risk assessment of computer systems
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US Patent 10951658 IT compliance and request for proposal (RFP) management
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...
Patent Primary Examiner
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Sarah Su
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CPC Code
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G06N 20/00
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H04L 63/145
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H04L 63/1433
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H04L 63/1425
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G06N 3/04
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Patent abstract

A method of cyber-risk assessment includes populating a database with ransomware attack information non-intrusively gathered from a plurality of data sources. A request for a ransomware susceptibility assessment of an entity associated with a domain name is received. A digital footprint of an entity is discovered in response to the associated domain name using non-intrusive information gathering. Commercial information associated with the entity is collected in response to the domain name. The database is scanned in response to the discovered digital footprint and at least one ransomware factor associated with the entity is generated in response to the scan. An impact parameter and a ransomware factor coefficient is computed based on the collected commercial information. Then an entity susceptibility index is computed based on the impact parameter, the ransomware factor coefficient, and the at least one ransomware factor. A ransomware attack is then identified and the database is re-populating in response to the identified ransomware attack. At least one of impact parameter or a ransomware factor coefficient is re-computed based at least one of an impact parameter or a ransomware factor coefficient based on the identified new ransomware attack to provide a cyber-risk assessment.

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