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:
Sep. 06, 2022

Filed:

Aug. 10, 2020
Applicants:

Penta Security Systems Inc., Seoul, KR;

Autocrypt Co., Ltd., Seoul, KR;

Inventors:

Seung Young Park, Chuncheon-si, KR;

Sang Gyoo Sim, Seoul, KR;

Duk Soo Kim, Seoul, KR;

Seok Woo Lee, Seoul, KR;

Myung Jin Kim, Seoul, KR;

Eui Seok Kim, Seoul, KR;

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 43/08 (2022.01); G06N 3/08 (2006.01); H04L 1/00 (2006.01); H04L 12/40 (2006.01);
U.S. Cl.
CPC ...
H04L 43/08 (2013.01); G06N 3/08 (2013.01); H04L 1/0061 (2013.01); H04L 12/40 (2013.01); H04L 2012/40215 (2013.01); H04L 2012/40273 (2013.01);
Abstract

An operation method of a communication node in a communication network may comprise receiving CAN signals from a plurality of CAN communication nodes; generating forward input data by performing forward preprocessing on the received CAN signals based on forward sampling times; generating forward mask data for the forward input data and forward time interval data according to the forward sampling times; generating backward input data by performing backward preprocessing on the CAN signals based on backward sampling times; generating backward mask data for the backward input data and backward time interval data according to the backward sampling times; and detecting an abnormal signal among the CAN signals by inputting the forward input data, forward mask data, forward time interval data, backward input data, backward mask data, and backward time interval data into a gated recurrent unit-decay (GRU-D) neural network.


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