PATENT CLAIM ANALYSIS

Application Number: 15756067
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-01
Patent Classification: ["709", "224000"]

Abstract:
The invention relates to a predictive network behavioural analysis system for a computer network, IT system or infrastructure, or similar. More particularly, the present invention relates to a behavioural analysis system for users of a computer network that incorporates machine learning techniques to predict user behaviour. According to a first aspect, there is provided a method for predicting a change in behaviour by one or more users of one or more monitored computer networks for use with normalised user interaction data, comprising the steps of: identifying from metadata events corresponding to a plurality of user interactions with the monitored computer networks; testing the identified events using one or more learned probabilistic models, each of said learned probabilistic models being related to a behavioural trait and being based on identified patterns of user interactions; and calculating a score using said one or more learned probabilistic models indicating the probability of a change in a behavioural trait of the user.

Claim (Index 30):
The method of  claim 1 , wherein the calculated scores are calculated in additional dependence on one or more correlations between tested user interactions and one or more historic user interactions involving at least one of: the user; a group of users the user is part of or labelled as part of; similar users in one or more organisations; action types; action times; and/or objects involved in the tested user interactions.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 88.0
- Lexical Diversity: 2.07317
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13264370', '11811175', '15322888', '14475204', '14562474']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2761894320660615
- 35 USC 102 Novelty (BERT): 0.462184865739987
- Combined Prediction Score: 0.2947889754334541
- Mean Citation Score: 138.05674
- Max Citation Score: 143.71147
- Similarity Product: 106.96387433147729

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test