Recent advances in computation, communication, and control technologies have revolutionized the way that humans, smart things, and intelligent systems interact and exchange information. Intelligent cyber–physical systems (ICPSs), characterized by the deep complex intertwining process among cyber components for computation and control with intelligent technologies and the dynamic physical components, will fuel this revolution. Examples of ICPS include intelligent automotive and transportation systems, intelligent avionics systems, smart home, smart building, smart community, smart grid, smart healthcare systems, intelligent wearable systems, intelligent energy systems, robotic systems, etc. Bringing machine/deep-learning-based intelligence techniques into CPSs can improve the performance in many aspects. However, this also imposes new security, privacy, and trust challenges, which highlights the need to develop novel methodologies to tackle these challenges. In this special issue, we will publish the following articles.

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关于智能网络物理系统和物联网安全、隐私和可信度的客座社论特刊


计算、通信和控制技术的最新进展彻底改变了人类、智能物体和智能系统交互和交换信息的方式。智能网络物理系统（ICPS）的特点是通过智能技术和动态物理组件进行计算和控制的网络组件之间深度复杂的交织过程，将推动这场革命。 ICPS的例子包括智能汽车和交通系统、智能航空电子系统、智能家居、智能建筑、智能社区、智能电网、智能医疗系统、智能可穿戴系统、智能能源系统、机器人系统等。基于智能技术的 CPS 可以提高许多方面的性能。然而，这也带来了新的安全、隐私和信任挑战，这凸显了开发新方法来应对这些挑战的必要性。在本期特刊中，我们将发表以下文章。