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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.17436770 |
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Table of Contents:
- <p>This paper explores the effectiveness of Multi-Agent Systems (MAS) in modern cybersecurity infrastructures.<br>As traditional centralized models struggle to address dynamic and complex threats, MAS provides a distributed and<br>autonomous alternative. The study evaluates real-world MAS implementations such as Suricata, HoneyMesh, Google<br>DC Agents, AWS IoT Defender, Azure Sphere, Tesla FSD, and IBM QRadar-Watson using three key indicators: response<br>time, detection accuracy, and overall efciency.<br>Findings show that agent-based architectures enhance system resilience, enable real-time threat analysis, and mitigate<br>single points of failure. Integration with artifcial intelligence (AI) and federated learning further improves predictive<br>capabilities. MAS also supports proactive defense, adaptive coordination, and efcient resource utilization, making them<br>ideal for securing IoT environments, edge computing systems, and future 6G networks. The results highlight MAS as a<br>strategic solution for building flexible, scalable, and intelligent cybersecurity frameworks capable of addressing evolving<br>digital threats.</p>