a Multi-agent Model for Network Defense Strategy: and Peer-to-Peer Systems Cybersecurity

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Bol In the face of increasingly distributed and complex network attacks, centralized defense approaches are reaching their limits. This book proposes a defense strategy based on a distributed architecture that combines multi-agent systems and peer-to-peer technologies. Agents provide autonomy, cooperation, flexibility, and interoperability among heterogeneous systems, while the P2P infrastructure enables the robust indexing, sharing, and retrieval of information necessary for detecting and responding to intrusions. This approach leads to the MONIP model, which integrates a P2P layer into the MONI multi-agent system to promote cooperation among intrusion detection systems. The Chord protocol is used to ensure distributed routing of information among agents. Finally, a prototype is used to illustrate and validate this architecture, which is designed to improve the robustness, availability, and responsiveness of a distributed network defense system.

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In the face of increasingly distributed and complex network attacks, centralized defense approaches are reaching their limits. This book proposes a defense strategy based on a distributed architecture that combines multi-agent systems and peer-to-peer technologies. Agents provide autonomy, cooperation, flexibility, and interoperability among heterogeneous systems, while the P2P infrastructure enables the robust indexing, sharing, and retrieval of information necessary for detecting and responding to intrusions. This approach leads to the MONIP model, which integrates a P2P layer into the MONI multi-agent system to promote cooperation among intrusion detection systems. The Chord protocol is used to ensure distributed routing of information among agents. Finally, a prototype is used to illustrate and validate this architecture, which is designed to improve the robustness, availability, and responsiveness of a distributed network defense system.


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Merk Our Knowledge Publishing
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  • 9786630539257
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