Toward an Intent-Based and Ontology-Driven Autonomic Security Response in Security Orchestration Automation and Response
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Abstract (arXiv)
Modern Security Orchestration, Automation, and Response (SOAR) platforms must rapidly adapt to continuously evolving cyber attacks. Intent-Based Networking has emerged as a promising paradigm for cyber attack mitigation through high-level declarative intents, which offer greater flexibility and persistency than procedural actions. In this paper, we bridge the gap between two active research directions: Intent-Based Cyber Defense and Autonomic Cyber Defense, by proposing a unified, ontology-driven security intent definition leveraging the MITRE-D3FEND cybersecurity ontology. We also propose a general two-tiered methodology for integrating such security intents into decision-theoretic Autonomic Cyber Defense systems, enabling hierarchical and context-aware automated response capabilities. The practicality of our approach is demonstrated through a concrete use case, showcasing its integration within next-generation Security Orchestration, Automation, and Response platforms.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Jul 2025.
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Citing papers per year: 2025: 2; 2026: 1.
3 papers.
- 2025Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucinationcited by 10
- 2025Online Incident Response Planning under Model Misspecification through Bayesian Learning and Belief Quantizationcited by 5
- 2026SoK: Semantic Decision Engines in Network Control Loopscited by 0
- 2026SoK: Semantic Decision Engines in Network Control Loops5 Oct 2026
- 2025Online Incident Response Planning under Model Misspecification through Bayesian Learning and Belief Quantization20 Aug 2025
- 2025Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination7 Aug 2025