Des enseignants-chercheurs d'ECAM-EPMI publient 2 chapitres dans un ouvrage scientifique consacré à la cyber sécurité industrielle.

Une équipe d’Enseignants-Chercheurs d’ECAM-EPMI ont publié deux chapitres dans un ouvrage scientifique paru en septembre 2018 dans le cadre d’un programme de recherche Européen financé par l’OTAN.

Titre de l’Ouvrage : « Cyber Defence in Industry 4.0 Systems and Related Logistics and IT Infrastructures », 2018, IOS PRES, Amsterdam, The Netherlands, September 2018, ISBN print 978-1-61499-887-7.

http://ebooks.iospress.nl/volume/cyber-defence-in-industry-4-0-systems-and-related-logistics-and-it-infrastructures

Les références de ces 2 chapitres, portant sur l’Industrie et la logistique 4.O, inclus dans cet ouvrage sont :

¨  K. Labadi, M. Darcherif, I. El Abbassi, S. Hamaci (2018) “Cyber-Risk and Security in Supply Chain Management Based on ICT Systems : A Stochastic Petri Nets Approach”, pp. 76-98, DOI 10.3233/978-1-61499-888-4-76, Vol. 51 of NATO Science Series, in the book “Cyber Defence in Industry 4.0 Systems and Related Logistics IT Infrastructures”, IOS PRES, Amsterdam, The Netherlands, September 2018, ISBN print 978-1-61499-887-7.

http://ebooks.iospress.nl/volumearticle/50288

Abstract : Supply chains are becoming more global, complex and increasingly vulnerable. Specifically, the latest evolution of the modern supply chains creates crucial cyber-risks and cyber-security challenges. Nowadays, supply chain risk managers need methods and tools for control, analysis, risk mitigation and managing of their cyber vulnerabilities. In this context, cyber-risk modeling and analysis in supply chain has become one of the major research subjects. The first part of this chapter provides a survey of the field and investigates the use of Petri Nets as a tool for modeling and performance analysis of supply chains, as well as their great potential for supply chain risk analysis. The second part of this work is dedicated to our contributions for modeling and performance evaluation of supply chain networks by using discrete event dynamic approaches. Based on the modeling and performance analysis power of Batch Deterministic and Stochastic Petri nets (BDSPN) for supply chain and logistic systems, two original risk-modeling approaches are introduced for this emerging research topic.

¨  I. El Abbassi, S. Hamaci, K. Labadi, M. Darcherif (2018) “Industry 4.0, Global Analysis including energy considerations and Cyber-Security contraints”, pp. 57 – 75, DOI : DOI  10.3233/978-1-61499-888-4-57, Vol. 51 of NATO Science Series, in the book “Cyber Defence in Industry 4.0 Systems and Related Logistics IT Infrastructures”, IOS PRES, Amsterdam, The Netherlands, September 2018, ISBN print 978-1-61499-887-7,

http://ebooks.iospress.nl/volumearticle/50287

Abstract

The present work deals with the main challenges and constraints inherent to the factories of the future (FoF), especially those related to resilience and hacking risks. After a brief historical review of the industry evolution through the ages, the authors focus on the technical and technological specificities of the so-called industry 4.0 and propose an original Security Simulator Platform for cyber-attacks evaluation in real life industrial production systems, based on the CPS concept (Cyber-Physical System). For this, a graphic architecture is proposed to study the different flows and exchanges between the physical part (manufacturing system) and its ecosystem (Customers, suppliers, stocks, etc.). Then, a numerical model under Witness software, is built, in order to analyze the behavior of the global system (Soft and Hardware) in the event of possible integrity breach and cyber-attacks. The developed model is based on a set of mathematical algorithms and numerical techniques to ensure an intelligent cyber control of the resilience the industrial system.