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. 08, 2023

Filed:

Jul. 29, 2020
Applicant:

Continental Teves Ag & Co. Ohg, Frankfurt am Main, DE;

Inventors:

Patrick Thomas Michael Klapper, Schwalbach a. Ts., DE;

Marc Sebastian Patric Stöttinger, Schwalbach a. Ts., DE;

Miguel Hernandez, Schwalbach a. Ts., DE;

Assignee:

CONTINENTAL TEVES AG & CO. OHG, Frankfurt am Main, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/00 (2006.01); G06F 11/30 (2006.01); G06F 17/16 (2006.01); G06F 18/24 (2023.01); G06F 21/57 (2013.01);
U.S. Cl.
CPC ...
G06F 11/3024 (2013.01); G06F 17/16 (2013.01); G06F 18/24 (2023.01); G06F 21/57 (2013.01);
Abstract

A method of monitoring execution of computer instructions includes receiving data items representing real-time measurements of side-channel information emanating from execution of computer instructions, each data item forming a value of a corresponding dimension of a side-channel information vector, receiving, for two or more of the dimensions of the side-channel vector, classifiers that assign the corresponding values of a side-channel vector to classes, and classifying the data items in accordance with the received classifiers, wherein an orthogonal distance of the data item from the classifier indicates a confidence value of the classification, generating a combined a confidence value for the side-channel information vector a, and outputting a signal if a confidence value indicates affiliation to a selected one of the two classes with a predetermined probability. The method conducts a self-test by generating a combined confidence value based to ensure correct outputting of the confidence value.


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