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:
Mar. 12, 2024

Filed:

Feb. 26, 2020
Applicant:

Saferide Technologies Ltd., Tel Aviv-Jaffa, IL;

Inventors:

Yehiel Stein, Ramat Hasharon, IL;

Yossi Vardi, Tel Aviv, IL;

Nadav George Costa, Gedera, IL;

Assignee:

SAFERIDE TECHNOLOGIES LTD., Tel Aviv-Jaffa, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/07 (2006.01); G06N 20/20 (2019.01); G06F 11/30 (2006.01); G06F 11/34 (2006.01); H04L 12/40 (2006.01); G06N 3/044 (2023.01); H04L 9/40 (2022.01); G06F 21/55 (2013.01);
U.S. Cl.
CPC ...
G06F 11/0739 (2013.01); G06F 11/0751 (2013.01); G06F 11/3013 (2013.01); G06F 11/3409 (2013.01); G06F 11/3452 (2013.01); G06N 3/044 (2023.01); G06N 20/20 (2019.01); H04L 12/40 (2013.01); H04L 63/1425 (2013.01); G06F 21/554 (2013.01); H04L 2012/40215 (2013.01); H04L 2012/40273 (2013.01);
Abstract

A system for generating a set of rules for detecting Controller Area Network (CAN) messages anomalies, the system comprising a processing resource configured to: obtain a training set including a plurality of CAN messages, each CAN message having properties; train a model, using the training set, the model characterizing statistical relationships between one or more first types of CAN messages of respective first CAN message type and one or more second types of CAN messages each of respective second CAN message type, wherein the statistical relationships are based on one or more of the properties of the CAN messages of the training set; wherein the model is usable for identifying anomalies within a sequence of input CAN messages.


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