# Predicting Adversary Lateral Movement Patterns with Deep Learning

arXiv: https://arxiv.org/abs/2104.13195 · HTML: https://mlsanity.com/paper/2104.13195/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 7 references that are in the map.
- First posted on arXiv 23 Apr 2021.

## Abstract (arXiv)

This paper develops a predictive model for which host, in an enterprise network, an adversary is likely to compromise next in the course of a campaign. Such a model might support dynamic monitoring or defenses. We generate data for this model using simulated networks, with hosts, users, and adversaries as first-class entities. We demonstrate the predictive accuracy of the model on out-of-sample simulated data, and validate the findings against data captured from a Red Team event on a live enterprise network