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Found 4 papers, 2 papers with code
MalGrid: Visualization Of Binary Features In Large Malware Corpora
The number of malware is constantly on the rise.
HAPSSA: Holistic Approach to PDF Malware Detection Using Signal and Statistical Analysis
Malicious PDF documents present a serious threat to various security organizations that require modern threat intelligence platforms to effectively analyze and characterize the identity and behavior of PDF malware.
OMD: Orthogonal Malware Detection Using Audio, Image, and Static Features
In this paper, we propose a novel and orthogonal malware detection (OMD) approach to identify malware using a combination of audio descriptors, image similarity descriptors and other static/statistical features.
Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning
Motivated by the visual similarity of these images for different malware families, we compare our deep neural network models with standard image features like GIST descriptors to evaluate the performance.
