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May 5, 2017 · Abstract:This work addresses classification of unknown binaries executed in sandbox by modeling their interaction with system resources ...
Mar 1, 2018 · The IS paradigm states that the multiple instance classification is based solely on information extracted from individual instances. The IS- ...
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This work addresses classification of unknown binaries executed in sandbox by modeling their interaction with system resources (files, mutexes, ...
Nov 21, 2023 · This paper proposes a novel method of classifying malware into families using high-resolution greyscale images and multiple instance learning to overcome ...
Multiple-Instance-Learning-for-Malware-Classification. This repository contains details about MIL-based malware representation proposed in paper: "Stiborek ...
May 30, 2017 · This work addresses classification of unknown binaries executed in sandbox by modeling their interaction with system resources (files, ...
This approach effectively removes randomization often employed by malware authors and projects samples into low-dimensional feature space suitable for common ...
Nov 21, 2023 · This paper proposes a novel method of classifying malware into families using high-resolution greyscale images and multiple instance ...
This paper proposes a novel method of classifying malware into families using high-resolution greyscale images and multiple instance learning to overcome ...
Multiple instance learning for malware classification ; Journal: Expert Systems with Applications, 2018, p. 346-357 ; Publisher: Elsevier BV ; Authors: Jan ...