A Comparative Performance Analysis of Malware Detection Algorithms Based on Various Texture Features and Classifiers

• Main Authors: Ahmed I.T., Hammad B.T., Jamil N.
• Other Authors: 57193324906
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2025
• Subjects: Discriminant analysis; Extraction; Image retrieval; Local binary pattern; Malware; Nearest neighbor search; Statistical tests; Support vector machines; Classification-tree analysis; Features extraction; Gabor; Gabor-k-near neighbor; Gaussian discriminant analyse; Gaussians; Local binary patterns; Malevi dataset; Malimg; Malware detection; Malwares; Segmentation-based fractal texture analyse; Segmentation-based fractal texture analyse-k-near neighbor; Support vectors machine; Tamura; Texture analysis; Feature extraction

Three frequent factors such as low classification accuracy, computational complexity, and resource consumption have an impact on malware evaluation methods. These challenges are exacerbated by elements such as unbalanced data environments and specific feature generation. To address these challenges,...