Robust Hashing for Image-based Malware Classification
Wei-Chung Huang, Fabio Di Troia, Mark Stamp · Proceedings of the 15th International Joint Conference on e-Business and Telecommunications · 2018
In this paper, we compare and contrast support vector machine (SVM) classifiers to robust hashing based strategies for the malware classification problem. For both the SVM and robust hashing approaches, we treat each executable file as a two-dimensional image. We experiment with two image-based robust hashing techniques, one that relies on wavelet analysis, and one that uses distributed coding. For our support vector machine experiments, we consider an image-based feature that deals with horizontal edges. While the SVM performs slightly better, there are some potential advantages to robust hashing for malware detection.