English

Enterprise Cyber Resiliency Against Lateral Movement: A Graph Theoretic Approach

Cryptography and Security 2019-05-06 v1 Social and Information Networks

Abstract

Lateral movement attacks are a serious threat to enterprise security. In these attacks, an attacker compromises a trusted user account to get a foothold into the enterprise network and uses it to attack other trusted users, increasingly gaining higher and higher privileges. Such lateral attacks are very hard to model because of the unwitting role that users play in the attack and even harder to detect and prevent because of their low and slow nature. In this paper, a theoretical framework is presented for modeling lateral movement attacks and for proposing a methodology for designing resilient cyber systems against such attacks. The enterprise is modeled as a tripartite graph capturing the interaction between users, machines, and applications, and a set of procedures is proposed to harden the network by increasing the cost of lateral movement. Strong theoretical guarantees on system resilience are established and experimentally validated for large enterprise networks.

Keywords

Cite

@article{arxiv.1905.01002,
  title  = {Enterprise Cyber Resiliency Against Lateral Movement: A Graph Theoretic Approach},
  author = {Pin-Yu Chen and Sutanay Choudhury and Luke Rodriguez and Alfred Hero and Indrajit Ray},
  journal= {arXiv preprint arXiv:1905.01002},
  year   = {2019}
}

Comments

Technical report for the book chapter "Towards Cyber-Resiliency Metrics for Action Recommendations Against Lateral Movement Attacks" in the book "Industrial Control Systems Security and Resiliency: Practice and Theory" published by Springer, 2019

R2 v1 2026-06-23T08:55:47.464Z