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    Day 1


ENISA defines IoT as “a cyber-physical ecosystem of interconnected sensors and actuators, which enable intelligent decision making”. It is meant to provide continuous cycle of sensing, decision-making, and actions, enabling of Smart Infrastructures such as Industry 4.0, smart grids or Smart transport. IIC[1] defines IIoT as systems “that connect and integrate different types of control systems and sensors with enterprise systems, business processes, analytics and people”. A main difference with regular IoT is the prevalence of Operational Technology (OT) and the related consideration for safety in the management of security aspects. IIoT shuffles traditional security methods by bridging IT and OT to a level of imbrication that invalidates any former prioritization of resilience, privacy, security and reliability requirements. Security of data, assets, environment and people consequently stand as equal in importance and intrinsically interdependent. IIoT also stands as one the key enablers for Industry 4.0 transition, concept originally defined by an eponym German governmental project as fostering strong customization of products under the conditions of highly flexible production, introduction of methods of self-optimization, self-configuration, self-diagnosis, cognition and intelligent support of workers in their increasingly complex work. Assuming that not only the production means, but also the product themselves tend to be more and more continuously connected, radical concepts like CMfg[2] have emerged, that plead for massive collection of design, production and operation data into unified data lakes, enabling dramatic optimization in product lifecycle management such as continuous design improvement, systematic on the flow product quality control or predictive maintenance. In that landscape, IIoT can be seen as the very critical link between the physical world and the digital world, shortcutting many layers of traditional architectures for Industrial Control Systems like the reference PERA model[3] and thus making traditional ICS security doctrines obsolete. Like other industries, the aerospace sector is looking towards Industry 4.0 and CMfg, considering the potential benefits against related risks and investments. The rationale behind it must be refined with proper identification of sector specificities which may significantly affect the applicability and effectiveness of such production models in aerospace domain. Noticeable particularities are: long life-cycle of aerospace products and manufacturing tools, predominance of specific tooling as opposed to standard equipment, relatively short production series, high customization of products, very stringent regulation on safety and security, high public sensitivity to air transportation accidents, large supply chain, widely (geographically) distributed operation & maintenance network. In this presentation, we will first present an overview of opportunities and risks related with the use of IIoT in general. Then we will point out specific use-cases and misuse-cases for IIoT specifically in aerospace sector, considering the full product lifecycle but with a particular focus on manufacturing.

[1] Industrial Internet Consortium: see Industrial Internet of Things Volume G4: Security Framework

[2] The concept of Cloud manufacturing was initially proposed by the research group led by Prof. Bo Hu Li and Prof. Lin Zhang in China in 2009

[3] Purdue Enterprise Reference Architecture:  developed in 1990 by J. Williams and members of the Industry-Purdue University Consortium for Computer Integrated Manufacturing

Associated Speakers:

Paul-Emmanuel Brun

Technical Manager & IoT Team Leader

Airbus Cybersecurity

Associated Talks:

03:40PM - Day 1

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