Raima Deb, Pranav M Pawar, Mithun Mukherjee, Raja Muthalagu, Mian Guo · 2026 · arXiv
DOI: 10.48550/arXiv.2610.30713 · open-access PDF
现代工业物联网(IIoT)应用程序现在连接边缘网关,云仪表板和业务应用程序,从而提高可见性和远程监控,同时暴露工业流量各种网络威胁,包括扫描,网络攻击和结构化查询语言(SQL)注入(SQLi),诈骗驱动的身份证窃取和命令和控制(C2)活动。尽管基于规则的工具仍然有用来检测已知的签名,但它们的有效性在攻击发生了最小变化或警报需要手动调查时会下降。
Machine translation (Meta M2M100); the English original follows.
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 traffic to various cyber threats including scanning, web attacks and Structured Query Language (SQL) injection (SQLi), phishing- driven credential theft, and command-and-control (C2) activity. Although rule-based tools remain useful for detecting known signatures, their efficacy decreases with minimally altered attacks or when alerts require manual investigation. This pap
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