A method may include a processing system having at least one processor obtaining a first plurality of domain name system traffic records, generating an input aggregate vector from the first plurality of domain name system traffic records, where the input aggregate vector comprises a plurality of features derived from the first plurality of domain name system traffic records, and applying an encoder-decoder neural network to the input aggregate vector to generate a reconstructed vector, where the encoder-decoder neural network is trained with a plurality of aggregate vectors generated from a second plurality of domain name system traffic records. In one example, the processing system may then calculate a distance between the input aggregate vector and the reconstructed vector, and apply at least one remedial action associated with the first plurality of domain name system traffic records when the distance is greater than a threshold distance.


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    Titel :

    Unsupervised encoder-decoder neural network security event detection


    Beteiligte:

    Erscheinungsdatum :

    2022-10-11


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    H04L TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION , Übertragung digitaler Information, z.B. Telegrafieverkehr / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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