This paper explores the effectiveness of Multi-Agent Systems (MAS) in modern cybersecurity infrastructures.As traditional centralized models struggle to address dynamic and complex threats, MAS provides a distributed andautonomous alternative. The study evaluates real-world MAS implementations such as Suricata, HoneyMesh, GoogleDC Agents, AWS IoT Defender, Azure Sphere, Tesla FSD, and IBM QRadar-Watson using three key indicators: responsetime, detection accuracy, and overall efciency.Findings show that agent-based architectures enhance system resilience, enable real-time threat analysis, and mitigatesingle points of failure. Integration with artifcial intelligence (AI) and federated learning further improves predictivecapabilities. MAS also supports proactive defense, adaptive coordination, and efcient resource utilization, making themideal for securing IoT environments, edge computing systems, and future 6G networks. The results highlight MAS as astrategic solution for building flexible, scalable, and intelligent cybersecurity frameworks capable of addressing evolvingdigital threats.
| Mualliflar | Kurbonaliyeva Dilshoda Vali kizi |
|---|---|
| Jurnal | Innovation science and technologiy |
| Nashr sanasi | 2025-04-30 |
| Jild | 1 |
| Son | 4 |
| Betlar | 77-81 |
| Til | Ingliz |
| DOI | 10.5281/zenodo.17436770 |
DOI: 10.5281/zenodo.17436770 · Maqolaning asl sahifasi
Multi-Agent Systems (MAS), Distributed Cybersecurity Architecture, Intrusion Detection and Prevention Systems (IDS/IPS), IoT Security, Real-Time Threat Response, Autonomous Security Agents, Federated Learning in Cyber Defense, Artifcial Intelligence for Network Security, Resilient System Design, Decentralized Decision-Making.
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