WP2 : Resilience & efficiency models

This Work Package, led by ENEA (WP) will develop a unified modelling framework, and relevant models, to predict the efficiency of CIs physical flows and resilience against adverse events (faults, cyber-physical threats, and deviations from nominal operation) that may alter the behaviour of their Industrial Automation and Control Systems.

Approach

Considering advanced interdependent scenarios of modernized CIs, this WP will model physical flows as electricity, gas, water, and information data. The unified modelling framework will rely on a hybrid modelling approach, in which actual physical devices, emulators and simulators (as agent-based, discrete event, domain and traversal simulators) co-exist and are composed in a larger scenario. CockpitCI simulation models were mainly based on artificial, holistic and agent based paradigms. ATENA needs, in addition, to consider flow efficiency and CI resilience that will require a deep knowledge of CIs at physical layer.  This knowledge will be represented also by using domain simulators. In particular, simulation models will evaluate and predict CIs flow efficiency and the functional role of the IACS, across the heterogeneity of CIs.SIR_scale_free6

Work to do

  • Model cyber-physical threats and their effects on IACS, and on the corporate networks, by threats generators, emulation or actual mock ups of the related ICT based devices.
  • Identify advanced scenarios to allow the investigation of important aspects, such as locations and power of distributed generation, storage, new control algorithms and reaction strategies of IACSs, CI stability, efficiency and resilience against new cyber threats, faults.
  • Investigation on risk indicators by modelling and calculating the relationship between adverse events and the efficiency of physical flows and resilience across CIs.
  • Development of additional modules to be integrated into the IRP tool and to provide simulation models to be integrated in the HEDVa (Hybrid Environment for Development and Validation), to reproduce, in part or totally, reference scenarios.

Expected results

  1. State-of-the-art of modernized CIs, their IACS, security solutions and modelling approaches
  2. Advanced scenarios of modernized interdependent CI and IACS including use cases, provided by CI Operators.
  3. Indicators of CI flow efficiency, resilience, security, quality of service and risk. Proper IACS indicators to estimate the benefits of ATENA tools.
  4. Taxonomies
  5. Modelling framework and hybrid & interdependency models to estimate indicators under IACS adverse events. Models of recovery and mitigation strategies under such events.
  6. Algorithms and possibly meta code for calculating IACS indicators, as functional input to ATENA tools

Tasks break down

  • Task 2.1 – State of the art
  • Task 2.2 – Advanced scenarios, use cases & indicators
  • Task 2.3 – Taxonomies
  • Task 2.4 – Hybrid modelling approach & interdependency analysis
  • Task 2.5 – Risk assessment to increase resilience and awarenessBackButton