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 29):
The method of  claim 1 , further comprising one or more of the following steps:\n classifying calculated scores using one or more predetermined or dynamically calculated thresholds receiving the metadata from within the one or more monitored computer networks and optionally aggregating metadata at a single entry point, preferably wherein metadata is received at a device via one or more of: a third party server instance; a client server within one or more computer networks; a direct link with the one or more devices; an API service; or simply manually received reporting or alerting on predicted excluded events or changes in behavioural traits; implementing one or more precautionary measures in response to predicted changes in behavioural traits, said precautionary measures comprising one or more of: issuing a warning, issuing a block on a user or device or a session involving said user or device, suspending one or more user accounts, suspending one or more users' access to certain resources, saving data, and/or performing a custom programmable action, optionally wherein the one or more precautionary measures are selected in dependence on the calculated score, in dependence on detected user response to one or more previously implemented precautionary measures, and/or in dependence on the excluded event; receiving feedback related to changes in behaviour traits, optionally weighted in dependence on the type of feedback received; and generating human-readable information relating to user interaction events and optionally presenting said information as part of a timeline.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 88.0
- Lexical Diversity: 2.07317
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13264370', '11811175', '15322888', '14475204', '14562474']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.248114637103691
- 35 USC 102 Novelty (BERT): 0.4843129237466301
- Combined Prediction Score: 0.271734465767985
- Mean Citation Score: 138.05674
- Max Citation Score: 143.71147
- Similarity Product: 87.1095813134706

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