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 12):
The method according to  claim 2 , wherein\n in the determining, the unit time is determined every predefined time period, in the identifying, the feature information is identified based on the number of messages received from the bus within the determined unit time, the identifying being performed sequentially for every period having a length equal to the determined unit time, and in the judging, the operation process is performed using the model and each piece of sequentially identified feature information.

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): 0.5743978934986771
- 35 USC 102 Novelty (BERT): 0.4858629169701388
- Combined Prediction Score: 0.5655443958458233
- Mean Citation Score: 210.56376
- Max Citation Score: 223.24266
- Similarity Product: 171.03776263702153

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