[PPT] - Interdependency Scenario The research leading to these results has PowerPoint Presentation

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Distributed Mitigation Strategies in a Interdependency Scenario

Luxembourg October 2018

The research leading to these results has received funding from the European Union’s Horizon 2020 Research and Innovation Programme, under Grant Agreement no 700581. This document is the property of the ATENA consortium and shall not be distributed or reproduced without the formal approval of the ATENA governing bodies.

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Overview

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Mitigation Strategies Overview

Starting point Can interdependency play a positive role?

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Mitigation Strategies Overview

Starting point Increase Resilience Increase Awareness Make better decisions Evaluate impacts

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Risk Predictor

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Risk Predictor Modelling Approach

Agent-Based Simulator

Salgado M., Gilbert N. (2013) Agent Based Modelling. In: Teo T. (eds) Handbook of Quantitative Methods for Educational

Research. Springer, Rotterdam

Bandini, S., Manzoni, S. and Vizzari, G., 2009. Agent based modeling and simulation: an informatics perspective. Journal of Artificial Societies and Social Simulation, 12(4), p.4.

The Risk Predictor assess the consequences of adverse events. The Risk Predictor is an agent-based modelling An agent-based modelling simulates interactions among agents in an attempt to predict the effects on the system as a whole of complex phenomena.

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Risk Predictor Modelling Approach

Agent Structure

Foglietta C., Palazzo C., Santini R., Panzieri S. (2015) Assessing Cyber Risk Using the CISIApro Simulator. In: Rice M., Shenoi S. (eds) Critical Infrastructure Protection IX. ICCIP 2015. IFIP Advances in Information and Communication Technology, vol 466. Springer, Cham

The operative level is the indicator of the agent representing the ability to produce resources by the agent itself

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Risk Predictor Modelling Approach

Mixed Holistic-Reductionist (MHR) Approach

Foglietta C., Palazzo C., Santini R., Panzieri S. (2015) Assessing Cyber Risk Using the CISIApro Simulator. In: Rice M., Shenoi S. (eds) Critical Infrastructure Protection IX. ICCIP 2015. IFIP Advances in Information and Communication Technology, vol 466. Springer, Cham

SERVICE BLOCK REDUCTIONIST BLOCK HOLISTIC BLOCK

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Decision Support System and Mitigation Strategies

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Decision Support System

Situation Awareness in Dynamic Decision Making

Endsley, M. R., Toward a theory of situation awareness in dynamic systems. Human Factors: The Journal of the Human Factors and Ergonomics Society, Vol. 37, No. 1, 1995, pp. 32-64.

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Water Distribution Network Example

Pump Scheduling Algorithm

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Electrical Distribution Network Example

Distribution Network Reconfiguration

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Software Defined Security

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Software Defined Security

Objective

What: Integration of the IACS security design, the distributed awareness, mitigation and resiliency functionalities into a unique framework Goal: dynamically and proactively react to the evolving threats by enforcing the most appropriate security policies in each CI node. Peculiarities:

physically distributed among several architectural elements
it appears as a unique, logically centralized security engine,

with a unified view of both threats and deployed defenses, at both control and data planes

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Software Defined Security

Architecture

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IACS-Oriented Security Components

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Smart Extension

Its objectives

SE

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IDS

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Smart Extension

Smart Extension Ecosystem

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Any Question? Thank you for your attention

Speaker: Chiara Foglietta chiara.foglietta@uniroma3.it