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A knowledge-in-the-loop approach to integrated safetysecurity for cooperative system-of-systems

机译:协作系统系统中集成安全与安保的循环中知识方法

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摘要

A system-of-systems (SoS) is inherently open in configuration and evolutionary in lifecycle. For the next generation of cooperative cyber-physical system-of-systems, safety and security constitute two key issues of public concern that affect the deployment and acceptance. In engineering, the openness and evolutionary nature also entail radical paradigm shifts. This paper presents one novel approach to the development of qualified cyber-physical system-of-systems, with Cooperative Intelligent Transport Systems (C-ITS) as one target. The approach, referred to as knowledge-in-the-loop, aims to allow a synergy of well-managed lifecycles, formal quality assurance, and smart system features. One research goal is to enable an evolutionary development with continuous and traceable flows of system rationale from design-time to post-deployment time and back, supporting automated knowledge inference and enrichment. Another research goal is to develop a formal approach to risk-aware dynamic treatment of safety and security as a whole in the context of system-of-systems. Key base technologies include: (1) EAST-ADL for the consolidation of system-wide concerns and for the creation of an ontology for advanced run-time decisions, (2) Learning Based-Testing for run-time and post-deployment model inference, safety monitoring and testing, (3) Provable Isolation for run-time attack detection and enforcement of security in real-time operating systems.
机译:系统级系统(SoS)本质上在配置方面是开放的,并且在生命周期中是演进的。对于下一代协作式网络物理系统系统,安全性和安全性是影响部署和接受的两个公众关注的关键问题。在工程中,开放性和进化性也带来了根本的范式转变。本文以协作智能运输系统(C-ITS)为目标,提出了一种开发合格的网络物理系统的新方法。该方法被称为“循环中的知识”,旨在实现管理良好的生命周期,正式质量保证和智能系统功能的协同作用。一个研究目标是要实现从设计时到部署后时间再到后的连续,可追溯的系统原理流程的演进式发展,支持自动知识推断和丰富化。另一个研究目标是开发一种正式方法,以在系统系统的背景下整体上对风险进行动态感知,以安全性和安全性进行整体处理。关键的基础技术包括:(1)EAST-ADL,用于合并系统范围的问题并创建用于高级运行时决策的本体;(2)基于学习的测试,用于运行时和部署后的模型推断,安全监控和测试;(3)可验证的隔离,用于实时操作系统中的运行时攻击检测和安全性实施。

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