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:
Aug. 31, 2021

Filed:

Mar. 05, 2019
Applicant:

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

Inventors:

Naama Kraus, Haifa, IL;

Roy Levin, Haifa, IL;

Andrey Karpovsky, Kiryat Motzkin, IL;

Tamer Salman, Haifa, IL;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 21/55 (2013.01); H04L 29/06 (2006.01);
U.S. Cl.
CPC ...
G06F 21/554 (2013.01); G06F 2221/034 (2013.01);
Abstract

Anomalous sequences are detected by approximating user sessions with heuristically extracted event sequences, allowing behavior analysis even without user identification or session identifiers. Extraction delimiters may include event count or event timing constraints. Event sequences extracted from logs or other event lists are vectorized and embedded in a vector space. A machine learning model similarity function measures anomalousness of a candidate sequence relative to a specified history, thus computing an anomaly score. Restrictions may be placed on the history to focus on a particular IP address or time frame, without retraining the model. Anomalous sequences may generate alerts, prompt investigations by security personnel, trigger automatic mitigation, trigger automatic acceptance, trigger tool configuration actions, or result in other cybersecurity actions.


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