Researchers have developed a new framework to assist teams lacking cybersecurity expertise in hardening IT environments. This system acts as a decision support tool, recommending security control sub-families based on user-defined security dimensions. The framework models the problem as a non-zero-sum game using Multi-Agent Influence Diagrams and employs online learning to optimize security resource allocation, minimizing both under- and over-provisioning. Validation demonstrated high satisfaction coverage rates, achieving 99% with approximately 65% of implementable controls. AI
IMPACT This framework could improve cybersecurity posture for organizations with limited expertise by providing automated, knowledge-based recommendations.
RANK_REASON The cluster contains a research paper published on arXiv detailing a new framework.
- alphaXiv
- arXiv
- Carolina Fernández-Martínez
- CatalyzeX Code Finder for Papers
- CORE Recommender
- DagsHub
- decision support system
- Gotit.pub
- Hugging Face
- Influence Flower
- information security
- Multi-agent influence diagrams for representing and solving games
- ScienceCast
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