# Detecting intrusions in control systems: a rule of thumb, its justification and illustrations

arXiv: https://arxiv.org/abs/1806.06295 · HTML: https://mlsanity.com/paper/1806.06295/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Jun 2018.

## Built on by (most cited first, 1 of 1)

- [NLP-based detection of systematic anomalies among the narratives of consumer complaints](https://mlsanity.com/paper/2308.11138/) (2023)

## Abstract (arXiv)

Control systems are exposed to unintentional errors, deliberate intrusions, false data injection attacks, and various other disruptions. In this paper we propose, justify, and illustrate a rule of thumb for detecting, or confirming the absence of, such disruptions. To facilitate the use of the rule, we rigorously discuss background results that delineate the boundaries of the rule's applicability. We also discuss ways to further widen the applicability of the proposed intrusion-detection methodology.