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:
Nov. 19, 2019

Filed:

Jul. 05, 2016
Applicants:

Hyundai Motor Company, Seoul, KR;

Kia Motors Corporation, Seoul, KR;

Ewha University—industry Collaboration Foundation, Seoul, KR;

Inventors:

Ho Jin Jung, Seoul, KR;

Hyun Soo Ahn, Seoul, KR;

Je Won Kang, Seoul, KR;

Min Joo Kang, Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/00 (2006.01); G06F 12/14 (2006.01); G06F 12/16 (2006.01); G08B 23/00 (2006.01); H04L 29/06 (2006.01); B60R 16/023 (2006.01); G05B 15/02 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); H04L 29/08 (2006.01);
U.S. Cl.
CPC ...
H04L 63/1416 (2013.01); B60R 16/0231 (2013.01); G05B 15/02 (2013.01); G06N 3/0472 (2013.01); G06N 3/08 (2013.01); H04L 67/12 (2013.01);
Abstract

The present disclosure provides a vehicle controller area network (CAN) communication attack detection method and apparatus. The apparatus includes: a learning module, a profiling module, and a detection module. The learning module identifies a CAN identifier (ID) upon receiving a predefined CAN packet and generates learning statistical information expressed as bits with respect to a data field corresponding to the identified CAN ID. The profiling module maintains the learning statistical information received and a precollected attack type, and the detection module extracts a CAN ID and a bit stream of a data field from a real-time input CAN packet. In addition, the detection module configures a neural network by acquiring the learning statistical information from the profiling module, inputs the extracted bit stream to the configured neural network, and determines whether attack is detected, based on an output value of the neural network.


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