The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 06, 2023

Filed:

Jul. 23, 2020
Applicant:

Mcafee, Llc, San Jose, CA (US);

Inventors:

Niall Fitzgerald, County Cork, IE;

Steven Grobman, Flower Mound, TX (US);

Jonathan B. King, Hillsboro, OR (US);

Sorcha Bairbre Healy, County Cork, IE;

Gerard Donal Murphy, County Cork, IE;

Assignee:

McAfee, LLC, San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/55 (2013.01); G06F 16/23 (2019.01); G06F 16/245 (2019.01);
U.S. Cl.
CPC ...
G06F 21/552 (2013.01); G06F 16/2365 (2019.01); G06F 16/2379 (2019.01); G06F 16/245 (2019.01); G06F 2221/034 (2013.01);
Abstract

There is disclosed in one example a computer-implemented method of detecting a statistically-significant security event and automating a response thereto, including: querying, or causing to be queried, a security intelligence database for sector-wise historical norms for an indicator of compromise (IoC); obtaining sector-wise expected prevalence data for the IoC; receiving observed sector-wise prevalence data for the IoC; computing a first test statistic from a goodness-of-fit test between the observed and expected prevalences; from the observed sector-wise prevalence data, computing a second test statistic from a difference between a highest prevalence and a next-highest prevalence; computing a third test statistic from a difference between the observed prevalence of a highest prevalence sector and the expected prevalence for the highest prevalence sector; selecting a least significant statistic from among the first, second, and third test statistics; and determining from the least significant statistic whether to notify a subscriber.


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