Consolidated state-of-the-art report This deliverable provides a review of different technology roadmaps, surveys or recommendations to consolidate the technology approach of the IoT4CPS project. It presents an overview of the current state of the art in the context of Trustworthy IoT for CPS, both from the academic and from the industrial perspective. From the academic perspective, for example, the field of design and testing for reconfigurable networked embedded systems has been covered in relation to recovery and mitigation. STRIDE methodology was described as a state-of-the-art threat modelling methodology. In addition to that, several frameworks for security analysis such as ETSI Threat Vulnerability and Risk Analysis (eTVRA), EVITA, and HEAVENS were investigated. While analysing reference architecture models such as RAMI 4.0 and IIRA, we were able to align the research in IoT4CPS according to the perspectives and components of these models. In essence, this deliverable serves as a guidance for aligning various research topics in the project. In this deliverable methods and infrastructure to capture information on business needs for use cases in the two focus areas of the IOT4CPS project (I4.0 and AD) are developed and established. Input from analysis and requirement engineering efforts by the use case providers result in information structured as use cases, threats, and contexts (and summarized as “assets”). In a second step, each use case’s business needs, market requirements, and applicable industry roadmaps as well as standardization activities are analyzed. These two views combined will allow to define and develop solutions for a safe and secure (I)IoT with the expected impact in IIoT. In this deliverable we focus on interconnecting already ongoing engineering activities at multiple levels and enrich them with tools to address dependability aspect. This deliverable outlines theoretical and practical contributions in different layers of CPS architecture. We first report on our tool for standard-based product development management: GSFlow. We introduce Failure Mode, Vulnerabilities and Effects Analysis (FMVEA) as a novel approach to integrated safety and security analysis. In order to further support security requirements analysis, allocation, and management we focus on the Model-based Security Requirement Management Tool: MORETO. In order to allow for dependability, the developers have to cope with ever-growing landscape of different technologies used in modern IoT architectures. To overcome this problem, we propose a recommender system for dependable IOT applications. Finally, as a mean to improve the fault-tolerance of IoT systems we advocate for Self-Healing by Structural Adaptation. Lifecycle Data Models for Smart Automotive and Smart Manufacturing The objective of this deliverable is to explore the current state of technology progress that impacts lifecycle data models and methods for data capturing and data management in Smart Manufacturing and Smart Automotive sectors. The deliverable overviews a set of the most popular standards and data models with the potential to further enhance ongoing developments in these two sectors. The identified standards and models serve as a basis for the conceptual model of the Digital Twin demonstrator, which will be designed and implemented in a later phase of the project, with the aim to simulate and validate physical processes and their lifecycle phases in domains central to IoT4CPS: Smart Manufacturing and Smart Automotive sectors. Annual updates on the Dissemination Plan, incl. Reporting The document at hand provides an overview of all dissemination acitivites completed in 2018 and seeks to provide insights into the dissemination aims, strategies and methods within the IoT4CPS project. Concrete activities such as the project website, social media, as well as dissemination and community building activities are considered more closely.
To improve interoperability, and allow development of versatile components, a set of reference architecture documents is used. In order to provide a more abstract view, use case owners map the individual use cases and domain-specifics to these standard architectures.
Public Deliverables
Deliverable 2.1 – Consolidated state-of-the-art report
Deliverable 2.2 – Consolidated business needs
Deliverable 3.1 – Design & Methods Concept
Deliverable 3.2 - Guidelines, processes and recommendations for the design of dependable IoT Systems
Deliverable 3.3 - Guidelines and recommendations for resilient system architecture pattern and concepts and HW-based solutions for safe & secure IoT
Deliverable 3.5 - Guidelines and recommendations for the use of cryptography to build trustworthy IoT applications
Delierable 3.6.1 - Prototype of cryptographic library implementation
Deliverable 4.1 - Automotive Ethernet protection profile
Deliverable 4.2 - Functional and formal checks
Deliverable 4.3 - Analytical Toolbox
Deliverable 5.1 – Lifecycle Data Models for Smart Automotive and Smart Manufacturing
Deliverable 5.2 - Product Lifecycle Data Management (PLCDM) Stakeholder Perspectives
Deliverable 5.3 - Cross-Platform Interoperation Model
Deliverable 5.4.1 - Identity, Security and Safety in Product Lifecycle Data Management
Deliverable 5.5.1 - Lifecycle Data Management Prototype I
Deliverable 5.5.2 - Lifecycle Data Management Prototype II
Deliverable 6.1a - Architecture for safe and secure automated driving platform demonstrator
Deliverable 8.1 - IoT4CPS value proposition and positioning in national and European ecosystem
Deliverable 9.2.1 – Annual updates on the Dissemination Plan, incl. Reporting
Deliverable 9.3.1 - Annual Report on the Workshop on Industrial Security and IoT (WISI 2019), ARES & CD-MAKE Conference, Canterbury, UK