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 4):
The method according to  claim 3 , wherein the vehicle identification information indicates a manufacturer of the vehicle.

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): 0.5709798719587799
- 35 USC 102 Novelty (BERT): 0.5004397765930122
- Combined Prediction Score: 0.5639258624222031
- Mean Citation Score: 210.56376
- Max Citation Score: 223.24266
- Similarity Product: 142.85600507228853

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