用于构建面向IoT环境的基于规则的分布式安全解决方案的增强型多智能体中间件
Enriched multi-agent middleware for building rule-based distributed security solutions for IoT environments
AI总结：
本文提出一种集成规则引擎和包装智能体类的分布式多智能体IDS开发环境，用于解决IoT环境的安全管理问题，并通过比较研究和示例验证了其有效性。
摘要：
随着连接设备数量的增加和物联网生态系统复杂性的提升，迫切需要新的架构来管理和保护这些网络化环境。入侵检测系统（IDS）是帮助检测和缓解IoT系统所面临威胁的安全解决方案，但需要新的IDS策略和架构。本文描述了一个开发环境，允许对分布式、基于规则的多智能体IDS解决方案进行编程和调试。所提出的解决方案包括将规则引擎集成到智能体中，使用带有图形用户界面的专用包装智能体类以用于编程和调试，以及一种行为增量组合机制。通过一项比较研究和一个IDS示例来测试并展示该方法的适用性和有效性。实际实现使用了JADE多智能体中间件。
英文摘要：
The increasing number of connected devices and the complexity of Internet of Things (IoT) ecosystems are demanding new architectures for managing and securing these networked environments. Intrusion Detection Systems (IDS) are security solutions that help to detect and mitigate the threats that IoT systems face, but there is a need for new IDS strategies and architectures. This paper describes a development environment that allows the programming and debugging of distributed, rule-based multi-agent IDS solutions. The proposed solution consists in the integration of a rule engine into the agent, the use of a specialized, wrapping agent class with a graphical user interface for programming and debugging purposes, and a mechanism for the incremental composition of behaviors. A comparative study and an example IDS are used to test and show the suitability and validity of the approach. The JADE multi-agent middleware has been used for the practical implementations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
