PATENT CLAIM ANALYSIS

Application Number: 16020282
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-11
Patent Classification: ["726", "023000"]

Abstract:
A computing device computes a risk score for a user using a device based on a peer group identifier. Network activity measures characterize use of the device by the user. For each unique peer group identifier included in netflow records, a mean value is computed of each network activity measure. For each unique IP address and user identifier combination included in the netflow records, the mean value of each network activity measure is selected for a peer group identifier of the user; a risk score is computed by comparing each network activity measure for the unique IP address and user identifier combination to the selected mean value for the respective network activity measure; and when the risk score exceeds a predefined alert threshold, a high risk alert indicator is set indicating that the device is being used in an anomalous manner relative to other devices monitored by the computing device.

Claim (Index 11):
The non-transitory computer-readable medium of  claim 10 , wherein the computer-readable instructions further cause the first computing device to compute a cumulative density function for each network activity measure of the plurality of network activity measures from the aggregated number of deviations.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 94.0
- Lexical Diversity: 2.40909
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14228530', '15486480', '14806750', '14228595', '15079219']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2878791622883423
- 35 USC 102 Novelty (BERT): 0.4881197579575584
- Combined Prediction Score: 0.307903221855264
- Mean Citation Score: 169.66335
- Max Citation Score: 179.59799999999996
- Similarity Product: 118.82411241531368

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