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English(EN) AIRO: A Streaming-Based Machine Learning Framework for Threat Detection and Security in Industrial Internet of Things

AIRO框架通过流式机器学习增强IIoT安全性

作者 PulseAugur 编辑部 · [1 个来源] ·

一个名为AIRO的新机器学习框架已被开发出来，用于工业物联网（IIoT）环境中的威胁检测和安全性。该框架集成了Apache Kafka用于流式数据处理、专门的特征提取以及Gradient Boosting和LightGBM等机器学习模型。AIRO旨在通过实施IP阻止和账户暂停等措施来缓解SQL注入和网络钓鱼等网络威胁，在自定义数据集上实现了高达0.9229的F1分数。 AI

影响 该框架通过实现实时威胁检测和自动化缓解措施，有望改善工业控制系统的安全态势。

排序理由 该集群描述了一篇研究论文，其中详细介绍了一个用于特定应用领域的新机器学习框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AIRO框架通过流式机器学习增强IIoT安全性

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该集群描述了一篇研究论文，其中详细介绍了一个用于特定应用领域的新机器学习框架。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Raima Deb, Pranav M Pawar, Mithun Mukherjee, Raja Muthalagu, Mian Guo ·

    AIRO: A Streaming-Based Machine Learning Framework for Threat Detection and Security in Industrial Internet of Things

    arXiv:2610.30713v1 Announce Type: cross Abstract: Modern Industrial Internet of Things (IIoT) im- plementations now connect edge gateways, cloud dashboards and business applications. This improves visibility and remote monitoring. However it simultaneously exposes industrial traf…

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