PATENT CLAIM ANALYSIS

Application Number: 16026040
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["370", "242000"]

Abstract:
An abnormality detection method is provided. The abnormality detection method is for detecting an abnormality that may be transmitted to a bus in an on-board network system. The on-board network system includes a plurality of electronic controllers that transmit and receive messages via the bus in a vehicle according to a CAN protocol. In the abnormality detection method, for example, a gateway transmits vehicle identification information to a server and receives a response determining a unit time. An operation process is performed using feature information based on a number of messages received from the bus per the determined unit time and using a model indicating a criterion in terms of a message occurrence frequency. A judgment is made as to an abnormality according to a result of the operation process.

Claim (Index 16):
The abnormality detection system according to  claim 15 , wherein\n the second operations further include:\n acquiring particular information based on the number of messages received, within the unit time identified based on the vehicle identification information received from the one vehicle, from a specified bus in a specified vehicle in a specified on-board network system, the specified vehicle specified from one or more vehicles in a set of vehicles identified by the vehicle identification information; \n updating, based on the particular information, the model indicating the criterion in terms of the message occurrence frequency; and \n transmitting, to the one vehicle, information indicating the updated model, and \n the first operations further include:\n updating the model based on the information indicating the updated model transmitted by the server, and \n performing the operation process using the feature information and the updated model, and performing the judgment as to whether the received message is abnormal or not according to a result of the operation process.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 95.0
- Lexical Diversity: 1.86486
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15381498', '15285706', '15940200', '15398815', '15183443']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5735309540912013
- 35 USC 102 Novelty (BERT): 0.4895617851139253
- Combined Prediction Score: 0.5651340371934737
- Mean Citation Score: 210.56376
- Max Citation Score: 223.24266
- Similarity Product: 163.8842162159729

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test