PATENT CLAIM ANALYSIS

Application Number: 16278225
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["726", "023000"]

Abstract:
A system, apparatus, computer-readable medium, and computer-implemented method are provided for detecting anomalous behavior in a network. Historical parameters of the network are determined in order to determine normal activity levels. A plurality of paths in the network are enumerated as part of a graph representing the network, where each computing system in the network may be a node in the graph and the sequence of connections between two computing systems may be a directed edge in the graph. A statistical model is applied to the plurality of paths in the graph on a sliding window basis to detect anomalous behavior. Data collected by a Unified Host Collection Agent (“UHCA”) may also be used to detect anomalous behavior.

Claim (Index 4):
The computer-implemented method of  claim 1 , further comprising:\n determining, by the computing system, historical parameters of the network to determine normal activity levels, wherein the computing system determines the historical parameters by taking into account at least two edge types.

Metadata:
- Claim Count in Document: 74.0
- Percentile: 99.0
- Lexical Diversity: 1.79452
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15809297', '15419673', '14382992', '15637475', '13826995']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3186863107837937
- 35 USC 102 Novelty (BERT): 0.552267888363218
- Combined Prediction Score: 0.3420444685417362
- Mean Citation Score: 336.219128
- Max Citation Score: 411.65787
- Similarity Product: 407.66761026615137

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