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Showing 1 to 3 of 3 for “"zero-day malware"”.

  1. A defensive strategy for detecting targeted adversarial poisoning attacks in machine learning trained malware detection models

    Wood, Adrian MichaelEdith Cowan University, Research Online, Perth, Western Australia2021

    … ML model. One current research area is that of malware detection. Malware detection relies on machine learning to detect previously unknown malware variants, without the need to manually reverse-engineer every suspicious file. Detection of Zero-day malware plays an important role in protecting …

    edithcowan Repository record

  2. Toward Privacy-Preserving and Secure Dynamic Spectrum Access

    Dou, YanzhiVirginia Tech2018

    … and propose a scalable and accurate zero-day malware detection system called GuardCR to enhance CR network security at the device level. GuardCR leverages a host-based anomaly detection technique driven by machine learning, which makes it autonomous in malicious behavior recognition. …

    vt Repository record

  3. Machine Learning Methods for Hardware-Based Malware Detection

    PEGORARO CHENET, CRISTIANOPolitecnico di Torino2025

    L'abstract è presente nell'allegato / the abstract is in the attachment

    poli-torino Repository record