About this document

MRm-DLDet: Detecting Memory-Resident Malware by Nazir Gohar is a document available to read on EtoBox.

The document presents MRm-DLDet, a novel memory-resident malware detection framework that utilizes memory forensics and deep learning to effectively identify malware that operates solely in memory. By converting memory dumps into ultra-high resolution RGB images and employing a neural network for feature extraction, MRm-DLDet achieves a detection accuracy of 98.34%, outperforming existing methods. The framework addresses challenges in current detection techniques, such as reliance on expert knowledge and li

Author

Nazir Gohar

Language

EN