弹性网络物理系统及其应用驱动：技术路线图
Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap
摘要：
网络物理系统（CPS）在我们的个人和职业生活中无处不在，它们有望极大地改善微型社区（例如，城市农场，医院），大社区（例如，城市和大都市），城市结构（例如，灵巧家庭和汽车），以及生活结构（例如，人体、合成基因组）。我们在本文中解决的问题涉及到设计这些CPS系统，使其从根本上服从，并通过渐进式学习，通过反应服从。一个优化设计的系统是弹性的独特的攻击和经常性的攻击，后者具有较低的开销。总体而言，可以从缺乏复原力的三个主要来源来看待复原力的概念，即：外部因素，如自然变异和袭击情景;工程设计和外部因素之间的不匹配，（分布式拒绝服务）攻击或其他网络安全噩梦，所谓的“黑天鹅”事件，使市政电网和其他连接基础设施的关键服务失效、数据泄露和网络故障;以及工程设计本身的脆弱性，包括错误、人机交互（HCI）和现实世界系统的整体复杂性。在本文中，我们的重点是设计和部署创新，广泛适用于一系列CPS应用领域。
英文摘要：
Cyberphysical systems (CPS) are ubiquitous in our personal and professional lives, and they promise to dramatically improve micro-communities (e.g., urban farms, hospitals), macro-communities (e.g., cities and metropolises), urban structures (e.g., smart homes and cars), and living structures (e.g., human bodies, synthetic genomes). The question that we address in this article pertains to designing these CPS systems to be resilient-from-the-ground-up, and through progressive learning, resilient-by-reaction. An optimally designed system is resilient to both unique attacks and recurrent attacks, the latter with a lower overhead. Overall, the notion of resilience can be thought of in the light of three main sources of lack of resilience, as follows: exogenous factors, such as natural variations and attack scenarios; mismatch between engineered designs and exogenous factors ranging from DDoS (distributed denial-of-service) attacks or other cybersecurity nightmares, so called "black swan" events, disabling critical services of the municipal electrical grids and other connected infrastructures, data breaches, and network failures; and the fragility of engineered designs themselves encompassing bugs, human-computer interactions (HCI), and the overall complexity of real-world systems. In the paper, our focus is on design and deployment innovations that are broadly applicable across a range of CPS application areas.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
