SYSTEMS AND METHODS FOR IDENTIFYING SUSPICIOUS SINGLETON FILES USING CORRELATIONAL PREDICTORS

Patent №

US 10,073,983

Granted

2018-09-11

Filed 2015

Owner

SYMANTEC CORPORATION

Lab

AI components

2

kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14966502

The disclosed computer-implemented method for identifying suspicious singleton files using correlational predictors may include (1) identifying a set of known-clean computing devices that include no singleton files, (2) detecting at least one software component that is installed on a threshold number of the known-clean computing devices, (3) identifying an unvindicated computing device whose infection status is unknown, (4) determining that, in addition to being installed on the threshold number of known-clean computing devices, the software component is installed on the unvindicated computing device, (5) determining that the unvindicated computing device includes at least one singleton file, and then (6) classifying the singleton file as suspicious in response to determining that (A) the software component is installed on the unvindicated computing device and (B) the unvindicated computing device includes the singleton file. Various other methods, systems, and computer-readable media are also disclosed.

AI classification

Planning1.00
Knowledge representation0.86
AI hardware0.12
Evolutionary computation0.11
Vision0.10
Natural language0.00
Machine learning0.00
Speech0.00

Ownership

SYMANTEC CORPORATION

assignment · 372720306

Assignors

LI, BO, ROUNDY, KEVIN ALEJANDRO, GATES, CHRISTOPHER

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

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