PATENT CLAIM ANALYSIS

Application Number: 15885819
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["726", "023000"]

Abstract:
Devices, systems, and methods of detecting user identity, differentiating between users of a computerized service, and detecting a cyber-attacker. A user utilizes a desktop computer, a laptop computer, a smartphone, a tablet, or other electronic device, to interact with a banking website or application, a retailer website or application, or other computerized service. Input-unit interactions are monitored, logged, and analyzed. Based on several types of analysis of the input-unit interactions, a score is generated to reflect fraud-relatedness or attack-relatedness of the input-unit interactions. Based on the score, the system estimates or determines whether the user is an attacker, and initiates attach-mitigation operations or fraud-mitigation operations.

Claim (Index 5):
The process of  claim 1 , wherein steps (b1) through (b6) analyze said batch of input-unit interactions which are interactions of a new user (I) that is not logged-in to said computerized service and (II) that is accessing said computerized service for his first time and (III) that is not associated with any pre-defined user profile derived from prior visits of said user.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 1.96875
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14736287', '15840035', '14675765', '15194593', '15465623']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.313992970349021
- 35 USC 102 Novelty (BERT): 0.4948340255374797
- Combined Prediction Score: 0.3320770758678669
- Mean Citation Score: 201.42724400000003
- Max Citation Score: 213.0786
- Similarity Product: 140.7959717156768

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