Tensor Methods for Static Malware Analysis

Abstract

Tensor decomposition methods have been used in many fields to find latent factors among data. Recent developments have made automatic decomposition feasible and has shown practical use in a network intrusion context. This work explores how tensors can be used in wide scale static malware analysis to provide automatic useful context to human analysts, where other automatic tools usually rely on short and incomprehensible strings of raw bytes.