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Article Dans Une Revue IEEE Access Année : 2022

Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned

Antonio J Cabrera
Dragan Danilovic
  • Fonction : Auteur
A1
Nikolaos Evangeliou
Gilad Ezov
Zoran Gajica
  • Fonction : Auteur
Dusan Jakovetic
Leonidas Kallipolitis
Milan Lukic
Ivan Mezei
Nemanja Milosevic
Michail Smyrlis
Giorgos Stamatis
  • Fonction : Auteur
Srdan Skrbic
Carine Souveyet
Spyridon Vantolas
  • Fonction : Auteur
Dejan Vukobratovic

Résumé

Modern industrial systems now, more than ever, require secure and efficient ways of communication. The trend of making connected, smart architectures is beginning to show in various fields of the industry such as manufacturing and logistics. The number of IoT (Internet of Things) devices used in such systems is naturally increasing and industry leaders want to define business processes which are reliable, reproducible, and can be effortlessly monitored. With the rise in number of connected industrial systems, the number of used IoT devices also grows and with that some challenges arise. Cybersecurity in these types of systems is crucial for their wide adoption. Without safety in communication and threat detection and prevention techniques, it can be very difficult to use smart, connected systems in the industry setting. In this paper we describe two real-world examples of such systems while focusing on our architectural choices and lessons learned. We demonstrate our vision for implementing a connected industrial system with secure data flow and threat detection and mitigation strategies on real-world data and IoT devices. While our system is not an off-the-shelf product, our architecture design and results show advantages of using technologies such as Deep Learning for threat detection and Blockchain enhanced communication in industrial IoT systems and how these technologies can be implemented. We demonstrate empirical results of various components of our system and also the performance of our system as-a-whole.
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Dates et versions

hal-03967801 , version 1 (01-02-2023)

Identifiants

Citer

George Bravos, Antonio J Cabrera, Camilo Correa, Dragan Danilovic, Nikolaos Evangeliou, et al.. Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned. IEEE Access, 2022, 10, pp.124747-124765. ⟨10.1109/ACCESS.2022.3225074⟩. ⟨hal-03967801⟩
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