A method for analyzing recurrent streams of digital data to detect anomalies. The digital data streams are acquired by an explorer having a sensor and processed by a digital data processing center. A knowledge base and a statistical model representing a set of the digital data having same context of obtainment are generated from the stream of digital data acquired by the sensor. Another stream of digital data is acquired by the sensor and the digital data processing center detects anomalies by comparing the statistical model to the statistical data of the other stream of digital data.


    Access

    Download


    Export, share and cite



    Title :

    ANALYZING RECURRENT STREAMS OF DIGITAL DATA TO DETECT AN ANOMALY


    Contributors:

    Publication date :

    2020-07-23


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / B64C AEROPLANES , Flugzeuge / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V



    Analyzing navigation data to detect navigation data spoofing

    CARMACK SCOTT GERARD / LAKKAKULA NARASIMHA RAO / SHARIFI MEHR NIMA | European Patent Office | 2017

    Free access


    Finding Events Automatically in Continuous Sampled Data Streams Via Anomaly Detection

    Raeth, P. G. / IEEE | British Library Conference Proceedings | 2000