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:
Dec. 23, 2025

Filed:

Oct. 15, 2021
Applicant:

Microsoft Technology Licensing, Llc., Redmond, WA (US);

Inventors:

Andrey Karpovsky, Kiryat Motzkin, IL;

Tomer Rotstein, Haifa, IL;

Michael Makhlevich, Sderot, IL;

Fady Nasereldeen, Daliat el carmel, IL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/00 (2013.01); G06F 16/955 (2019.01); G06F 18/214 (2023.01); G06F 21/56 (2013.01); G06N 20/00 (2019.01); H04L 9/40 (2022.01);
U.S. Cl.
CPC ...
G06F 16/9566 (2019.01); G06F 18/214 (2023.01); G06F 21/566 (2013.01); G06N 20/00 (2019.01); H04L 63/1425 (2013.01);
Abstract

A computing system is configured to train a machine-learning model for detecting suspicious network activities based on a training dataset. The training of the machine-learning model may be supervised or unsupervised training. The training dataset includes multiple strings. For each of the multiple strings, the computing system extracts one or more N-grams substrings, where N is a natural number that is equal to or greater than 2. The computing system then determines a probability of each N-grams substring that may occur in a string. When the machine-learning model is executed, it is configured to classify whether a given string contained in network communication is a random string. In response to classifying that the given string is a random string, an alert is generated at a particular computing system to which the network communication is directed.


Find Patent Forward Citations

Loading…