A Machine Learning Approach for Malware Detection based on Image Conversion
Abir Laouadi,
Djamel Eddine Menacer,
Karima Benatchba
Abstract:Due to the sophistication of recent malware, classical detection approaches are becoming obsolete. Machine Learning for malware detection has emerged as a new trend and is becoming increasingly effective. Indeed, malware generate a tremendous amount of data that should be analyzed and used to detect them. The aim of this paper is to propose a Machine Learning approach to detect both recent and old malware by converting them into images. This approach, which consists of two phases, is based on Transfer Learning… Show more
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