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1. (WO2017037443) PREDICTIVE HUMAN BEHAVIORAL ANALYSIS OF PSYCHOMETRIC FEATURES ON A COMPUTER NETWORK

Pub. No.:    WO/2017/037443    International Application No.:    PCT/GB2016/052682
Publication Date: Fri Mar 10 00:59:59 CET 2017 International Filing Date: Wed Aug 31 01:59:59 CEST 2016
IPC: G06F 21/31
G06F 21/55
H04L 29/06
Applicants: STATUSTODAY LTD
MODI, Ankur
DĂNILĂ-DUMITRESCU, Mircea
Inventors: MODI, Ankur
DĂNILĂ-DUMITRESCU, Mircea
Title: PREDICTIVE HUMAN BEHAVIORAL ANALYSIS OF PSYCHOMETRIC FEATURES ON A COMPUTER NETWORK
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.