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Enhanced cyber‐physical security using attack‐resistant cyber nodes and event‐triggered moving target defence

機(jī)譯:使用攻擊網(wǎng)絡(luò)節(jié)點(diǎn)和事件觸發(fā)的移動(dòng)目標(biāo)防御增強(qiáng)了網(wǎng)絡(luò)物理安全性

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摘要

Abstract A cyber‐physical authentication strategy to protect power system infrastructure against false data injection (FDI) attacks is outlined. The authors demonstrate that it is feasible to use small, low‐cost, yet highly attack‐resistant security chips as measurement nodes, enhanced with an event‐triggered moving target defence (MTD), to offer effective cyber‐physical security. At the cyber layer, the proposed solution is based on the MULTOS Trust‐Anchor chip, using an authenticated encryption protocol, offering cryptographically protected and chained reports at up to 12/s. The availability of the Trust‐Anchors allows the grid controller to delegate aspects of passive anomaly detection, supporting local as well as central alarms. In this context, a distributed event‐triggered MTD protocol is implemented at the physical layer to complement cyber side enhancement. This protocol applies a distributed anomaly detection scheme based on Holt‐Winters seasonal forecasting in combination with MTD implemented via inductance perturbation. The scheme is shown to be effective at preventing or detecting a wide range of attacks against power system measurement system.
機(jī)譯:摘要概述了保護(hù)電力系統(tǒng)基礎(chǔ)架構(gòu)(FDI)攻擊的網(wǎng)絡(luò)物理認(rèn)證策略。作者證明,使用小型低成本但高度攻擊的安全芯片作為測(cè)量節(jié)點(diǎn)是可行的,并通過(guò)事件觸發(fā)的移動(dòng)目標(biāo)防御(MTD)增強(qiáng),以提供有效的網(wǎng)絡(luò)物理安全性。在網(wǎng)絡(luò)層,所提出的解決方案使用經(jīng)過(guò)認(rèn)證的加密協(xié)議,提供了高達(dá)12 / s的加密保護(hù)和鏈接報(bào)告的多元信任錨芯片。信任錨的可用性允許網(wǎng)格控制器委派被動(dòng)異常檢測(cè)的各個(gè)方面,支持本地以及中央警報(bào)。在此上下文中,在物理層實(shí)現(xiàn)分布式事件觸發(fā)的MTD協(xié)議以補(bǔ)充網(wǎng)絡(luò)側(cè)增強(qiáng)。該協(xié)議應(yīng)用基于Holt-Winters的分布式異常檢測(cè)方案與通過(guò)電感擾動(dòng)實(shí)現(xiàn)的MTD組合的季節(jié)性預(yù)測(cè)。該方案顯示有效地防止或檢測(cè)對(duì)電力系統(tǒng)測(cè)量系統(tǒng)的廣泛攻擊。

著錄項(xiàng)

  • 作者

    Martin Higgins; Keith Mayes; Fei Teng;

  • 作者單位
  • 年度 2021
  • 總頁(yè)數(shù)
  • 原文格式 PDF
  • 正文語(yǔ)種 eng
  • 中圖分類(lèi)

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