Periodic Reporting for period 2 - SeCoIIA (Secure Collaborative Intelligent Industrial Assets)
Periodo di rendicontazione: 2021-06-01 al 2022-05-31
SeCoIIA aims at securing digital transition of manufacturing industry towards more connected, collaborative, flexible and automated production techniques. It fosters user-driven application cases from aeronautics, automotive and naval construction sectors. Collaboration is considered from Organization to Organization (O2O), but also from Machine to Machine (M2M), Machine to Human (M2H) and Human to Human (H2H) perspectives. Enhanced process monitoring, optimization and control is achieved by intelligent use digital twin technology, Industrial IoT, Cloud Manufacturing (CMfg), collaborative robotics and Industrial AI. While enabling enhanced industrial performance, these techniques tend to increase exposure to cyber-threats and should not be deployed without due consideration for Preparedness, Information Security, Process Safety and Liability. These are the challenges that SeCoIIA intends to address through the development of 12 key capabilities which will be assessed in various configurations through 3 ambitious demonstration campaigns lead by pilot users. With 4 large strategic industry players, 4 highly innovative SMEs and 4 highly recognized research centers, SeCoIIA consortium is best suited to achieve enhanced competitiveness and resilience for European manufacturing industry.
D1.1-Project Management Plan
D2.1-PERT & Communication Plan
D2.2-Communication Tools
D3.1-Use-case definition report
D3.2-Risk Analysis / Misuse-Cases Report
D3.3-System Architecture Report
D4.1-Preparedness Workshop Report
D1.2-Progress Report for technical review
D2.3-Dissem. Report for Technical Review
D5.1-Information Security Workshop Report
D3.4-Detailed Requirements
D6.1-Process Safety Workshop Report
D2.1-PERT & Communication Plan
D2.2-Communication Tools
D3.1-Use-case definition report
D3.2-Risk Analysis / Misuse-Cases Report
D3.3-System Architecture Report
D4.1-Preparedness Workshop Report
D1.2-Progress Report for technical review
D2.3-Dissem. Report for Technical Review
D5.1-Information Security Workshop Report
D3.4-Detailed Requirements
D6.1-Process Safety Workshop Report
Innovations proposed in response to the preparedness challenge:
1) Cyber-physical security testing platform: one of the aims of this project will be to provide with the CyberRange a tool to model and simulate the OT layer using Digital Twins to reproduce the behaviour of automats.
2) Cyber physical security training platform: with the CyberRange we will be able to recreate OT infrastructures that can be used as a lab to play realistic scenarios including real cyber-attacks in a secured environment.
3) Collaborative industrial CyberRange: SeCoIIA will create and deploy network topologies to simulate interoperability between organizations belonging to a value chain.
Innovations proposed for end to end information security in CMfg environments:
1) IIoT authentication & encryption: a secure IIoT requires implementing a minimum standard for the authentication of devices and encrypting communication, at acceptable time and processing overhead.
2) Combined user / asset authorisation: As the collaborative shop-floor will involve actors of different organizations with different roles and privileges, most likely bringing in own devices, manufacturing or testing equipment, future identity and access management tools need to properly manage the rights of humans and objects with increasing levels of autonomy.
3) Fine-grained access control and encryption for cloud: multiple users with different profiles and rights to know will have to access shared resources such as design documents, manufacturing data or digital twins from distant locations across the value chain.
Innovations proposed for collaborative OT security monitoring and response:
1) Next generation OT IDS: this project investigates methods of fast incremental learning for daily updates of models for misuse and anomaly detection.
2) Human–robot behaviour monitoring: Emotional and cognitive behaviour analysis will bring insights about stress levels, mental fatigue, etc.
3) Collaborative monitoring and response: Security and safety of manufacturing environments will be achieved through a holistic approach that exhaustively considers stakeholder decision making, while providing a tool for them to explore best possible decision.
Innovations proposed:
1. Counter current powerful attack methods in adversarial machine learning.
2. Provide building blocks towards a legal conceptual framework for collaborative smart manufacturing for a legal lexicon which will reinterpret traditional legal concepts, such as ‘damage’, ‘negligence’ and ‘risk’ etc., in light of the challenges of smart manufacturing.
3. Enable collaborative forensics readiness. This approach will leverage both existing technologies and innovations proposed from other work packages to enable forensics readiness across the all set of available data in the collaborative manufacturing environment.
1) Cyber-physical security testing platform: one of the aims of this project will be to provide with the CyberRange a tool to model and simulate the OT layer using Digital Twins to reproduce the behaviour of automats.
2) Cyber physical security training platform: with the CyberRange we will be able to recreate OT infrastructures that can be used as a lab to play realistic scenarios including real cyber-attacks in a secured environment.
3) Collaborative industrial CyberRange: SeCoIIA will create and deploy network topologies to simulate interoperability between organizations belonging to a value chain.
Innovations proposed for end to end information security in CMfg environments:
1) IIoT authentication & encryption: a secure IIoT requires implementing a minimum standard for the authentication of devices and encrypting communication, at acceptable time and processing overhead.
2) Combined user / asset authorisation: As the collaborative shop-floor will involve actors of different organizations with different roles and privileges, most likely bringing in own devices, manufacturing or testing equipment, future identity and access management tools need to properly manage the rights of humans and objects with increasing levels of autonomy.
3) Fine-grained access control and encryption for cloud: multiple users with different profiles and rights to know will have to access shared resources such as design documents, manufacturing data or digital twins from distant locations across the value chain.
Innovations proposed for collaborative OT security monitoring and response:
1) Next generation OT IDS: this project investigates methods of fast incremental learning for daily updates of models for misuse and anomaly detection.
2) Human–robot behaviour monitoring: Emotional and cognitive behaviour analysis will bring insights about stress levels, mental fatigue, etc.
3) Collaborative monitoring and response: Security and safety of manufacturing environments will be achieved through a holistic approach that exhaustively considers stakeholder decision making, while providing a tool for them to explore best possible decision.
Innovations proposed:
1. Counter current powerful attack methods in adversarial machine learning.
2. Provide building blocks towards a legal conceptual framework for collaborative smart manufacturing for a legal lexicon which will reinterpret traditional legal concepts, such as ‘damage’, ‘negligence’ and ‘risk’ etc., in light of the challenges of smart manufacturing.
3. Enable collaborative forensics readiness. This approach will leverage both existing technologies and innovations proposed from other work packages to enable forensics readiness across the all set of available data in the collaborative manufacturing environment.