Constructing lineages of malware is an important cyber-defense task. Performing this task is difficult, however, due to the amount of malware data and obfuscation techniques by the authors. In this work, we formulate the lineage task as a probabilistic model, and use a novel probabilistic programming solution to jointly infer the lineage and creation times of families of malware.
@article{arxiv.1603.08379,
title = {Probabilistic Programming for Malware Analysis},
author = {Brian Ruttenberg and Lee Kellogg and Avi Pfeffer},
journal= {arXiv preprint arXiv:1603.08379},
year = {2016}
}