WP6 – Risk Analysis and Mitigation Strategies

 Coordinated by
RES (M01-M16)

Objective

This work package researches and develops a methodology for continuous risk assessment process on the ICT supply chain, such that the system is continuously analyzed for potential weaknesses, and corresponding mitigation strategies can be enacted using BIECO solutions.

This WP has the following concrete objectives:

  1. To identify in an automated fashion main threats, including those that could also derive in a physical hazard in a cyber-physical system.
  2. To compute the severity of the consequences of threats and hazards.
  3. To make the link between systems’ internal security causes and their possible safety hazards explicit, e.g. in failure logic models such as Component Fault Trees.
  4. To define mitigation strategies.
  5. Out of both design time risk assessment models and mitigation strategies, runtime risk management models shall be synthesized systematically that are suitable to support runtime resilience mechanisms defined in WP4.
  6. Design and develop security, privacy and accountability measures for all the entities involved in the supply chain.

Envisioned mitigations range from process-based to architecture-based as well as related to the introduction of new patches and error detectors. The WP will ultimately produce a methodology and supporting tools for the systematic and automated i) analysis of risks, and ii) identification of mitigations that shall be equipped in the BIECO framework.

Deliverables

Outcomes

MENTORS – Monitoring Environment for System of Systems

MENTORS - Monitoring Environment for System of Systems Authors: Antonello Calabrò, Said Daoudagh, Eda Marchetti Document type: Publication in Conference proceedings Publication: Proceedings of the 17th International Conference on Web Information Systems and...

GRADUATION: A GDPR-based Mutation Methodology

GRADUATION: A GDPR-based Mutation Methodology Authors: Said Daoudagh, Eda Marchetti Document type: Publication in Conference proceedings/Workshop Publisher: Quality of Information and Communications Technology. QUATIC 2021. Communications in Computer and Information...

Reliability and Robustness of machine learning in Smart Ecosystems

Reliability and Robustness of machine learning in Smart Ecosystems

Within the Smart digital Ecosystems (SES), the utilization of AI, and Machine Learning (ML) in particular, becomes increasingly prevalent scenarios designed for elevating the user experience of a system's functional performance. The BIECO approach on building trust in...

BIECO Project – Methodology for Security Evaluation

BIECO Project – Methodology for Security Evaluation

We happily announce that BIECO has been presented at @YavaConf 2022!  The session entitled "BIECO Project - Methodology for Security Evaluation" has been presented on Tuesday - September 27th, by Marcin Byra, @7bulls.com. The presentation is available here....

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