The Investigation of Malware Detection Model Construction Based on Deep Learning Algorithms

Jiansen Lu

2023

Abstract

Over the past decade, the evolution of computer malware has been swift. Current malware detection technologies primarily rely on static and dynamic detection methods, yet both struggle to achieve high levels of detection efficiency and accuracy. Furthermore, the majority of existing malware detection methods build classification models using machine learning algorithms, often resulting in less-than-ideal detection outcomes. In light of these limitations within current malware detection techniques, this paper proposes a deep learning-based approach to malware detection. The article begins by categorizing malware types and then presents an overview of traditional malware detection methods. It subsequently delves into the fundamental concepts of deep learning algorithms. Following that, a novel malware detection model is constructed leveraging deep learning techniques. To conclude, a dynamic malware detection model is established using deep learning, and a virtual platform for malware detection is implemented. Ultimately, this platform automatically extracts worm feature codes, enabling real-time dynamic software detection.

Paper Citation

in Harvard Style

Lu J. (2023). The Investigation of Malware Detection Model Construction Based on Deep Learning Algorithms. In Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML; ISBN 978-989-758-705-4, SciTePress, pages 332-337. DOI: 10.5220/0012808200003885

in Bibtex Style

@conference{daml23,
author={Jiansen Lu},
title={The Investigation of Malware Detection Model Construction Based on Deep Learning Algorithms},
booktitle={Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML},
year={2023},
pages={332-337},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012808200003885},
isbn={978-989-758-705-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML
TI - The Investigation of Malware Detection Model Construction Based on Deep Learning Algorithms
SN - 978-989-758-705-4
AU - Lu J.
PY - 2023
SP - 332
EP - 337
DO - 10.5220/0012808200003885
PB - SciTePress