PATENT CLAIM ANALYSIS

Application Number: 15868663
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["340", "426100"]

Abstract:
An anti-fraud method for use in an in-vehicle network system including a plurality of electronic control units that exchange, in an in-vehicle network, data frames, each having added thereto a message authentication code (MAC). The method includes generating a first MAC by using a MAC key and a value of a counter that counts a number of times a data frame having added thereto a MAC is transmitted to the in-vehicle network. The method also includes performing verification that the data frame received has added thereto the generated first MAC and incrementing a number of error occurrences when the verification has failed for the data frame, the data frame including a predetermined ID. When the number of error occurrences exceeds a predetermined threshold, a process associated in advance with the predetermined ID is executed.

Claim (Index 7):
The method according to  claim 1 , further comprising:\n when an ID of a data frame that has started to be transmitted to the in-vehicle network is identical to any of one or more IDs indicated in a predetermined fraudulent-ID list, transmitting an error frame before the data frame that has started to be transmitted has completed being transmitted, wherein the process associated in advance with the predetermined ID comprises adding the predetermined ID to the fraudulent-ID list.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 86.0
- Lexical Diversity: 2.01389
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15636007', '15183443', '15183398', '15163234', '15275860']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7404106297596988
- 35 USC 102 Novelty (BERT): 0.5782530990711061
- Combined Prediction Score: 0.7241948766908396
- Mean Citation Score: 403.893598
- Max Citation Score: 510.13803
- Similarity Product: 369.53619662146383

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