PATENT CLAIM ANALYSIS

Application Number: 16170451
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["726", "001000"]

Abstract:
A fraud detection method for use in an in-vehicle network system including a plurality of electronic control units that communicate with one another via an in-vehicle network is provided. The method includes receiving at least one data frame sent to the in-vehicle network, verifying a specific identifier in the received data frame only when the received data frame is event-driven data and a state of a vehicle having the in-vehicle network system mounted therein is a predetermined state, detecting the received data frame as an authenticated data frame when the verifying is successful, and detecting the received data frame as a fraudulent data frame when the verifying fails. The predetermined state of the vehicle is the vehicle traveling.

Claim (Index 7):
The fraud detection method according to  claim 1 , wherein when the received data frame is the event-driven data, the received data frame is detected as being an authorized data frame.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 97.0
- Lexical Diversity: 2.10169
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15076650', '15183443', '15868663', '15636007', '15163234']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2866155456356272
- 35 USC 102 Novelty (BERT): 0.5516861765340655
- Combined Prediction Score: 0.313122608725471
- Mean Citation Score: 299.6646360000001
- Max Citation Score: 402.41266
- Similarity Product: 341.84600498366484

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

Dataset: test