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 27):
A non-transitory computer readable storage medium comprising instructions that, when executed by a processing device having a client component and a server component, cause the processing device to perform operations, comprising:\n collecting, by the client component, data corresponding to an action occurring at the processing device; converting, by the client component, the data to one or more features, wherein the one or more features represent characteristics of a human user or a bot; comparing, by the client component, at least one of the features against a learned model to determine, in a replay check, whether the at least one feature is indicative of a replay by the bot; and upon a determination that the at least one feature is not indicative of a replay by the malicious code, further processing the features by the server component against the learned model in a behavior check to determine whether the features represent a behavior of the human user.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.01887
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14957485', '14802531', '11834883', '14057730', '14798881']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2126240250507744
- 35 USC 102 Novelty (BERT): 0.4901247019110615
- Combined Prediction Score: 0.2403740927368031
- Mean Citation Score: 144.45510339999996
- Max Citation Score: 243.43575
- Similarity Product: 207.3190673549473

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