Digital twins: Double Insecurity for Industrial Scenarios

Cristina Alcaraz
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Abstract

Industry 5.0 is increasingly having a greater influence on the modernization of industrial processes in order to improve not only its own value chain but also the supply chain within a context. In this case, Digital twins (DTs) is a leading technology, providing simulation capabilities to analyze, predict and optimize possible scenarios and situations, which is encouraging different industrial actors to invest in the technology, and especially to intensify the three Industry 5.0 objectives: centrality in the human being, sustainability, and resilience. But this fact, in turn, forces the scientific community to pay attention to the risks that may be involved in adapting the technology itself in its operational domains. The deployment of a DT involves a set of risks and threats that are a consequence of its own criticality, what affects seriously Industry 5.0 resilience. In this talk, therefore, we will talk about that particular context of a DT, where we will explore potential threats that can corrupt the objectives of Industry 5.0, adding some security recommendations that can benefit, at least, the expected Industry 5.0 resilience.
数字孪生:工业场景的双重不安全
工业5.0对工业过程的现代化产生越来越大的影响,不仅要改善其自身的价值链,还要改善环境中的供应链。在这种情况下,数字孪生(dt)是一项领先的技术,提供模拟功能来分析、预测和优化可能的场景和情况,这鼓励不同的工业参与者投资于该技术,特别是加强工业5.0的三个目标:人类的中心性、可持续性和弹性。但是,这一事实反过来又迫使科学界关注在将技术本身应用于其操作领域时可能涉及的风险。DT的部署涉及一系列风险和威胁,这些风险和威胁是其自身临界性的结果,严重影响工业5.0的弹性。因此,在本次演讲中,我们将讨论DT的特定背景,其中我们将探索可能破坏工业5.0目标的潜在威胁,并添加一些安全建议,这些建议至少可以使预期的工业5.0弹性受益。
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