Abstract: We describe efforts in generating synthetic malware samples that have specified behaviors that can then be used to train a machine learning (ML) ...
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We describe efforts in generating synthetic malware samples that have specified behaviors that can then be used to train a machine learning (ML) algorithm ...
Abstract—We describe efforts in generating synthetic malware samples that have specified behaviors that can then be used to train a machine learning (ML) ...
We first introduce two formal definitions for the interactive and the distributed viruses. According to different classes of interactions, their detection ...
Oct 1, 2022 · This report details the reasons for the diffcultly of detecting novel malware by ML methods and offers solutions to improve the detection of ...
Going Beyond Signature Malware Detection by Learning Behaviors ... MalGen: Malware Generation with Specific Behaviors to Improve Machine Learning-based Detectors.
Nov 1, 2021 · Title: Malware Generation with Specific Behaviors to Improve Machine Learning-based Detectors. Conference · Mon Nov 01 00:00:00 EDT 2021.
In this work, we used improved reinforcement learning to generate adversarial examples. The method accepts malicious code samples as input, and takes detection ...
An online framework for detecting malware that uses machine learning to classify malicious behavior based on virtual memory access patterns is proposed, ...
May 7, 2024 · This paper introduces an innovative strategy which employs the capacity deep learning – in particular Long Short-Term Memory (LSTM) networks and ...