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. 31, 2026

Filed:

May. 25, 2022
Applicant:

Marelli Europe S.p.a., Corbetta, IT;

Inventors:

Christian Rosadini, Corbetta, IT;

Anastasia Cornelio, Corbetta, IT;

Simona Chiarelli, Corbetta, IT;

Walter Nesci, Corbetta, IT;

Sergio Saponara, Pisa, IT;

Emma De Pinto, Nocera Inferiore, IT;

Assignee:

Marelli Europe S.p.A., Corbetta, IT;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); H04L 12/40 (2006.01);
U.S. Cl.
CPC ...
H04L 63/14 (2013.01); H04L 12/40045 (2013.01); H04L 2012/40215 (2013.01); H04L 2012/40273 (2013.01);
Abstract

A method for protecting against cyber attacks in a communication network of a vehicle, including the steps of acquiring dominant voltage measurements; obtaining an electrical characteristic of nodes that transmit messages by acquiring consecutive groups of voltage measurements at receiving nodes and calculating a distribution thereof; calculating values of distribution statistics; calculating a cumulative voltage deviation for each value of statistic; and obtaining a voltage profile by adding the cumulative voltage deviations of each statistic, executing a malicious-node detection procedure and then executing a transmitting-node identification procedure including comparing the at least one characteristic parameter against all the corresponding characteristic parameters of all the messages, defining a range of variation of the characteristic parameter with respect to a given number of previous samples; and evaluating whether the value of the parameter falls within the range of variation of one of the messages and identifying as malicious the node that transmits the message.


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