PATENT CLAIM ANALYSIS

Application Number: 16183624
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["726", "023000"]

Abstract:
In one respect, there is provided a system for training a neural network adapted for classifying one or more scripts. The system may include at least one processor and at least one memory. The memory may include program code which when executed by the at least one memory provides operations including: receiving a disassembled binary file that includes a plurality of instructions; processing the disassembled binary file with a convolutional neural network configured to detect a presence of one or more sequences of instructions amongst the plurality of instructions and determine a classification for the disassembled binary file based at least in part on the presence of the one or more sequences of instructions; and providing, as an output, the classification of the disassembled binary file. Related computer-implemented methods are also disclosed.

Claim (Index 14):
The method of  claim 13 , wherein the fixed length representations of the plurality of instructions includes a mnemonic associated with each instruction.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 98.0
- Lexical Diversity: 1.94521
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15210761', '15345439', '15345444', '15246333', '15216661']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3115804707686476
- 35 USC 102 Novelty (BERT): 0.5695322085343831
- Combined Prediction Score: 0.3373756445452212
- Mean Citation Score: 292.11903
- Max Citation Score: 495.04184
- Similarity Product: 362.16103682440286

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test