DETERMINING WHETHER DOMAIN IS BENIGN OR MALICIOUS

Patent №

US 11,245,720

Granted

2022-02-08

Filed 2019

Owner

ENTIT SOFTWARE LLC

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16433151

For each of a number of naming deviation types, the number of deviations within a domain name of a domain is determined. Each naming deviation type is a different type of deviation from domain name naming rules. For each naming deviation type for which the number of deviations is non-zero, first benign and malicious probabilities that benign and malicious domains, respectively, have the naming deviation type are estimated. Second benign and malicious probabilities that any given domain is respectively benign and malicious are estimated. Probabilities that the domain is benign and malicious are estimated based on the number of deviations for each naming deviation type and based on the estimated first and second benign and malicious probabilities. Whether the domain is benign or malicious is determined based on the estimated probabilities that the domain is benign and malicious.

Machine learningNatural languageKnowledge representationPlanningAI hardwareH04L 63/0236H04L 63/145H04L 63/0245H04L 63/10H04L 61/4511H04L 63/101

AI classification

Knowledge representation1.00
Natural language1.00
Planning0.99
Machine learning0.97
AI hardware0.90
Vision0.11
Evolutionary computation0.01
Speech0.00

Ownership

ENTIT SOFTWARE LLC

assignment · 493910965

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