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US Patent 10484401 In-vehicle network attack detection method and apparatus

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Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10484401
Patent Inventor Names
Je Won Kang0
Min Joo Kang0
Ho Jin Jung0
Hyun Soo Ahn0
Date of Patent
November 19, 2019
Patent Application Number
15202255
Date Filed
July 5, 2016
Patent Citations Received
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US Patent 12061971 Predictive maintenance of automotive engines
0
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US Patent 11693562 Bandwidth optimization for different types of operations scheduled in a data storage device
0
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US Patent 11702086 Intelligent recording of errant vehicle behaviors
0
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US Patent 11709625 Optimization of power usage of data storage devices
0
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US Patent 11748626 Storage devices with neural network accelerators for automotive predictive maintenance
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US Patent 11775816 Storage and access of neural network outputs in automotive predictive maintenance
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US Patent 11853863 Predictive maintenance of automotive tires
0
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US Patent 11498388 Intelligent climate control in vehicles
0
...
Patent Primary Examiner
‌
Trong H Nguyen
Patent 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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