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 27):
The computer-implemented method of  claim 21 , further comprising:\n establishing, by the computing system, count weights using count information by calculating mean and variance statistics on counts.

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): 0.3208524037130115
- 35 USC 102 Novelty (BERT): 0.5484338999551936
- Combined Prediction Score: 0.3436105533372297
- Mean Citation Score: 336.219128
- Max Citation Score: 411.65787
- Similarity Product: 356.0310130848348

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