SYSTEM TO IDENTIFY MACHINES INFECTED BY MALWARE APPLYING LINGUISTIC ANALYSIS TO NETWORK REQUESTS FROM ENDPOINTS

Patent №

US 9,419,986

Granted

2016-08-16

Filed 2014

Owner

SYMANTEC CORPORATION

Lab

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14226626

A method to identify machines infected by malware is provided. The method includes determining whether a universal resource locator in a network request is present in a first cache and determining whether a fully qualified domain name from the uniform resource locator is present in a second cache. The method includes evaluating a parent hostname as to suspiciousness. The method includes indicating the computing device has a likelihood of infection, responsive to one of: the universal resource locator being present in the first cache with a first indication of suspiciousness, the fully qualified domain name being present in the second cache with a second indication of suspiciousness, or the evaluating the parent hostname having a third indication of suspiciousness, wherein at least one method operation is performed by the processor. A system and computer readable media are provided.

PlanningH04L 63/14G06F 21/56H04L 63/145G06F 2221/034

AI classification

Planning0.52
Knowledge representation0.07
Natural language0.04
Machine learning0.02
AI hardware0.01
Vision0.01
Evolutionary computation0.00
Speech0.00

Ownership

SYMANTEC CORPORATION

assignment · 325560775

Assignors

HART, MICHAEL, KIENZLE, DARRELL, ASHLEY, PETER

On an employer assignment, the assignors are typically the inventors.

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