  In this article, we explored orthogonal methods to analyze malware motivated
by signal and image processing. Malware samples are represented as images or
signals. Image and signal-based features are extracted to characterize malware.
Our extensive experiments demonstrate the efficacy of our methods on malware
classification and retrieval. We believe that our techniques will open the
scope of signal-and image-based methods to broader fields in computer security.
