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 31):
The method of  claim 1 , wherein the plurality of user interactions with the monitored computer networks is tested against two or more learned probabilistic models, the results of the two or more probabilistic models being analysed by a further probabilistic model to calculate a further score indicating the probability of the user changing one or more higher level behavioural traits.

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): 0.2721213979794068
- 35 USC 102 Novelty (BERT): 0.4811117454208134
- Combined Prediction Score: 0.2930204327235475
- Mean Citation Score: 138.05674
- Max Citation Score: 143.71147
- Similarity Product: 91.57027583069204

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