# Towards a Comprehensive Framework for Cyber-Incident Response Decision Support in Smart Grids

arXiv: https://arxiv.org/abs/2412.06254 · HTML: https://mlsanity.com/paper/2412.06254/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Dec 2024.

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

- [CyTReX: Explainable AI-Based Cybersecurity Threat Reasoning Framework for DER Networks](https://mlsanity.com/paper/2610.04286/) (2026)

## Abstract (arXiv)

The modernization of power grid infrastructures necessitates the incorporation of decision support systems to effectively mitigate cybersecurity threats. This paper presents a comprehensive framework based on integrating Attack-Defense Trees and the Multi-Criteria Decision Making method to enhance smart grid cybersecurity. By analyzing risk attributes and optimizing defense strategies, this framework enables grid operators to prioritize critical security measures. Additionally, this paper incorporates findings on decision-making processes in intelligent power systems to present a comprehensive approach to grid cybersecurity. The proposed model aims to optimize the effectiveness and efficiency of grid cybersecurity efforts while offering insights into future grid management challenges.