Efficient Malware Classification by Binary Sequences with One-Dimensional Convolutional Neural Networks

Article Computer Science, Information Systems

A novel framework for image-based malware detection with a deep neural network

Yifei Jian et al.

Summary: This paper proposes a novel visual malware detection framework based on deep neural networks, converts samples into RGB images using visualization technology and data augmentation to extract intrinsic features, establishes a balanced dataset, and improves the performance of the detection method using a specific architecture.

COMPUTERS & SECURITY (2021)

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Article Computer Science, Theory & Methods

MCFT-CNN: Malware classification with fine-tune convolution neural networks using traditional and transfer learning in Internet of Things

Sudhakar et al.

Summary: This paper proposes a novel malware classification model MCFT-CNN, which can accurately detect unknown malware samples without feature engineering or prior knowledge of binary code analysis or reverse engineering. The model classifies malware images using deep transfer learning and demonstrates high accuracy and consistent performance in training and testing.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2021)

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Article Computer Science, Information Systems

Malware classification and composition analysis: A survey of recent developments

Adel Abusitta et al.

Summary: The detection and classification of malware are becoming increasingly challenging due to the complexity of malware design and advancements in communication and computing infrastructure. Existing approaches and new analysis methods enable reverse engineers to better understand the functionality and behavior of malware samples, helping them discern intent and attackers' objectives. This survey categorizes and compares findings in malware classification and composition analyses, discussing evasion techniques, feature extraction methods, strengths, limitations, and future research directions.

JOURNAL OF INFORMATION SECURITY AND APPLICATIONS (2021)

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Article Computer Science, Hardware & Architecture