PATENT CLAIM ANALYSIS

Application Number: 15905341
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["726", "023000"]

Abstract:
Methods and systems for malicious non-human user detection on computing devices are described. The method includes collecting, by a processing device, raw data corresponding to a user action, converting, by the processing device, the raw data to features, wherein the features represent characteristics of a human user or a malicious code acting as if it were the human user, and comparing, by the processing device, at least one of the features against a corresponding portion of a characteristic model to differentiate the human user from the malicious code acting as if it were the human user.

Claim (Index 34):
The system of  claim 33 , wherein the processing device is further configured to process the data to reduce an effect of noise, perturbation, or randomization of the at least one of the features against the learned model.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.01887
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14957485', '14802531', '11834883', '14057730', '14798881']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2314192905528245
- 35 USC 102 Novelty (BERT): 0.5034962363319466
- Combined Prediction Score: 0.2586269851307368
- Mean Citation Score: 144.45510339999996
- Max Citation Score: 243.43575
- Similarity Product: 180.30801529660823

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