Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned
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 suc...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9964219/ |
| _version_ | 1811300622734983168 |
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| author | George Bravos Antonio J. Cabrera Camilo Correa Dragan Danilovic Nikolaos Evangeliou Gilad Ezov Zoran Gajica Dusan Jakovetic Leonidas Kallipolitis Milan Lukic Julien Mascolo Davide Masera Raul Mazo Ivan Mezei Andreas Miaoudakis Nemanja Milosevic William Oliff Jacques Robin Michail Smyrlis Georgia Sakellari Giorgos Stamatis Dusan Stamenkovic Srdan Skrbic Carine Souveyet Spyridon Vantolas Giorgos Vasiliadis Dejan Vukobratovic |
| author_facet | George Bravos Antonio J. Cabrera Camilo Correa Dragan Danilovic Nikolaos Evangeliou Gilad Ezov Zoran Gajica Dusan Jakovetic Leonidas Kallipolitis Milan Lukic Julien Mascolo Davide Masera Raul Mazo Ivan Mezei Andreas Miaoudakis Nemanja Milosevic William Oliff Jacques Robin Michail Smyrlis Georgia Sakellari Giorgos Stamatis Dusan Stamenkovic Srdan Skrbic Carine Souveyet Spyridon Vantolas Giorgos Vasiliadis Dejan Vukobratovic |
| author_sort | George Bravos |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T06:55:01Z |
| format | Article |
| id | doaj.art-786cc504e2314ed9b96fdd0ffbacd9af |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-13T06:55:01Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-786cc504e2314ed9b96fdd0ffbacd9af2022-12-22T02:57:17ZengIEEEIEEE Access2169-35362022-01-011012474712476510.1109/ACCESS.2022.32250749964219Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons LearnedGeorge Bravos0Antonio J. Cabrera1https://orcid.org/0000-0003-4550-7131Camilo Correa2Dragan Danilovic3Nikolaos Evangeliou4https://orcid.org/0000-0003-1939-3177Gilad Ezov5https://orcid.org/0000-0003-4579-8127Zoran Gajica6Dusan Jakovetic7https://orcid.org/0000-0003-3497-5589Leonidas Kallipolitis8https://orcid.org/0000-0002-5689-298XMilan Lukic9https://orcid.org/0000-0002-3761-4175Julien Mascolo10Davide Masera11Raul Mazo12Ivan Mezei13https://orcid.org/0000-0002-1727-1670Andreas Miaoudakis14Nemanja Milosevic15https://orcid.org/0000-0002-7598-9883William Oliff16Jacques Robin17Michail Smyrlis18https://orcid.org/0000-0001-9527-516XGeorgia Sakellari19Giorgos Stamatis20Dusan Stamenkovic21Srdan Skrbic22https://orcid.org/0000-0002-3993-4092Carine Souveyet23Spyridon Vantolas24Giorgos Vasiliadis25Dejan Vukobratovic26https://orcid.org/0000-0002-5305-8420Information Technology for Market Leadership (ITML), Athens, Athina, GreeceInfineon Technologies AG (IFAG), Neubiberg, GermanyUniversity of Paris 1 Panthéon-Sorbonne (UP1PS), Paris, FranceA1, Serbia (VIP), Belgrade, SerbiaInformation Technology for Market Leadership (ITML), Athens, Athina, GreeceIBM Research (IBM), Haifa, IsraelA1, Serbia (VIP), Belgrade, SerbiaFaculty of Sciences (UNSPMF), University of Novi Sad, Novi Sad, SerbiaAEGIS IT Research (AEGIS), Braunschweig, GermanyFaculty of Technical Sciences, University of Novi Sad, Novi Sad, SerbiaCentro Ricerche Fiat (CRF), Orbassano, ItalyCentro Ricerche Fiat (CRF), Orbassano, ItalyENSTA-Bretagne, Brest, FranceFaculty of Technical Sciences, University of Novi Sad, Novi Sad, SerbiaSphynx Technology Solutions AG (STS), Zug, SwitzerlandFaculty of Sciences (UNSPMF), University of Novi Sad, Novi Sad, SerbiaSchool of Computing and Mathematical Sciences, University of Greenwich (UoG), London, U.KUniversity of Paris 1 Panthéon-Sorbonne (UP1PS), Paris, FranceSphynx Technology Solutions AG (STS), Zug, SwitzerlandSchool of Computing and Mathematical Sciences, University of Greenwich (UoG), London, U.KInformation Technology for Market Leadership (ITML), Athens, Athina, GreeceFaculty of Sciences (UNSPMF), University of Novi Sad, Novi Sad, SerbiaFaculty of Sciences (UNSPMF), University of Novi Sad, Novi Sad, SerbiaUniversity of Paris 1 Panthéon-Sorbonne (UP1PS), Paris, FranceAEGIS IT Research (AEGIS), Braunschweig, GermanyFoundation for Research and Technology (FORTH), Heraklion, GreeceFaculty of Technical Sciences, University of Novi Sad, Novi Sad, SerbiaModern 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.https://ieeexplore.ieee.org/document/9964219/Anomaly detectionblockchaincybersecuritydeep learningInternet of Things |
| spellingShingle | George Bravos Antonio J. Cabrera Camilo Correa Dragan Danilovic Nikolaos Evangeliou Gilad Ezov Zoran Gajica Dusan Jakovetic Leonidas Kallipolitis Milan Lukic Julien Mascolo Davide Masera Raul Mazo Ivan Mezei Andreas Miaoudakis Nemanja Milosevic William Oliff Jacques Robin Michail Smyrlis Georgia Sakellari Giorgos Stamatis Dusan Stamenkovic Srdan Skrbic Carine Souveyet Spyridon Vantolas Giorgos Vasiliadis Dejan Vukobratovic Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned IEEE Access Anomaly detection blockchain cybersecurity deep learning Internet of Things |
| title | Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned |
| title_full | Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned |
| title_fullStr | Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned |
| title_full_unstemmed | Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned |
| title_short | Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned |
| title_sort | cybersecurity for industrial internet of things architecture models and lessons learned |
| topic | Anomaly detection blockchain cybersecurity deep learning Internet of Things |
| url | https://ieeexplore.ieee.org/document/9964219/ |
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