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 6):
The fraud detection method according to  claim 1 , wherein the verifying determines whether the received data frame is not the event-driven data,\n wherein when the received data frame is the event-driven data, whether the state of the vehicle is the predetermined state is determined, and wherein when the state of the vehicle is the predetermined state, the verifying is performed on the specific identifier.

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): 0.2859028164002017
- 35 USC 102 Novelty (BERT): 0.5528531792916139
- Combined Prediction Score: 0.312597852689343
- Mean Citation Score: 299.6646360000001
- Max Citation Score: 402.41266
- Similarity Product: 361.8826929580141

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