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X-MalNet: A CNN-Based Malware Detection Model with Visual and Structural Interpretability

Year: 2025

Type: article

Abstract: The escalating complexity of modern malware continues to undermine the effectiveness of traditional signature-based detection techniques, which are often unable to adapt to rapidly evolving attack patterns. To address these c... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.069951

Authors: Kirubavathi Ganapathiyappan, Heba G. Mohamed, Abhishek Yadav, Guru Akshya Chinnaswamy, Ateeq Ur Rehman, Habib Hamam

Institutions: Princess Nourah bint Abdulrahman University, Gachon University, Université de Moncton, University of Johannesburg, Amrita Vishwa Vidyapeetham

Language: English

Topic: Advanced Malware Detection Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4416456654

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