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. 23, 2021

Filed:

Nov. 02, 2018
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Antonio La Marca, Leonberg, DE;

Markus Hanselmann, Stuttgart, DE;

Thilo Strauss, Ludwigsburg, DE;

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); H04L 12/24 (2006.01); H04L 12/26 (2006.01); G06Q 10/06 (2012.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); H04L 41/142 (2013.01); H04L 41/16 (2013.01); H04L 43/04 (2013.01); H04L 43/106 (2013.01); H04L 43/16 (2013.01); H04L 63/1416 (2013.01); H04L 2463/121 (2013.01);
Abstract

A method for creating rules for recognizing anomalies in a data stream of data packets. The method includes: providing a reference time signal having successive reference points in time; for at least two data portions from one or multiple data packets determined by a selected data packet type in a data stream section, ascertaining a time series of successive values of the relevant data portion, the values of the time series corresponding to the values of the relevant data portion or being a function of these values, the values of the relevant data portion each being assigned to a respective reference point in time of the respective reference points in time; carrying out a correlation method in order to ascertain, in each case, one correlation value for at least two different time series; creating a rule for the rule-based anomaly recognition method as a function of the ascertained correlation values.


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