Smart City Gnosys
Smart city article details
| Title | Threat Modelling Of Iot Systems Using Distributed Ledger Technologies And Iota |
|---|---|
| ID_Doc | 57300 |
| Authors | Damianou A.; Khan M.A.; Marios Angelopoulos C.; Katos V. |
| Year | 2021 |
| Published | Proceedings - 17th Annual International Conference on Distributed Computing in Sensor Systems, DCOS 2021 |
| DOI | http://dx.doi.org/10.1109/DCOSS52077.2021.00070 |
| Abstract | Internet of Things has emerged as a key techno-logical enabler for broader socio-technical and socio-economic paradigms, such as smart cities and Circular Economy. However, IoT systems are characterised by constraints and limitations which in order to be overcome they need to be deployed in conjunction and in synergy with other emerging ICT. Distributed Ledger Technologies (DLT) can help overcome challenges pertaining to data immutability, timeliness and security. However, the use of DLT does not satisfactorily mitigate security risks and vulnerabilities per se and currently cybersecurity aspects of IoT systems are addressed in a fragmented way. Furthermore, the conflict between the resource demanding Blockchains and the highly constrained nature of IoT devices hinders implementation efforts of corresponding systems. We consider networked systems that comprise both IoT and DLT technologies via the prism of Intelligent Transportation Systems (ITS). We elicit a three-tier threat model identifying attack vectors at the Device, the Network and the DLT layers. The identified attacks are then ranked by using the DREAD ranking scheme. The use of the threat model is demonstrated on a novel proof-of-concept IoT networked system implemented using the IOTA Tangle distributed ledger, where it helps to critically appraise the design of the system against the most critical attacks. Furthermore, the developed system is among the first in the literature to demonstrate the synergy of IoT and DLT on actual constrained embedded devices. The performance evaluation provides insights showing that such systems can be efficient and suitable for real-life deployment. © 2021 IEEE. |
| Author Keywords | Distributed Ledger Technologies; Intelligent Vehicles; Internet of Things |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
6588  | 0.896 | Arslan S.S.; Jurdak R.; Jelitto J.; Krishnamachari B. | Advancements In Distributed Ledger Technology For Internet Of Things | Internet of Things (Netherlands), 9 (2020) |
| 9855 | 0.894 | Krundyshev V.; Kalinin M.; Busygin A. | Application Of Distributed Ledger Technology To Protect Smart Cities: Challenges And Solutions | RusAutoCon - Proceedings of the International Russian Automation Conference, 2024 (2024) |
| 2254 | 0.872 | Xu R.; Lan Q.; Pokhrel S.R.; Li G. | A Knowledge Graph-Based Survey On Distributed Ledger Technology For Iot Verticals | ACM Computing Surveys, 56, 2 (2024) |
| 33929 | 0.871 | Doghramachi D.F.; Ameen S.Y. | Iot Threats And Solutions With Blockchain And Context-Aware Security Design: A Review | International Conference of Modern Trends in ICT Industry: Towards the Excellence in the ICT Industries, MTICTI 2021 (2021) |
| 47764 | 0.868 | Bao S.; Sun Z.; Cruickshank H. | Securing Massive Iot Using Network Slicing And Blockchain | Security and Privacy for 6G Massive IoT (2025) |
| 1552 | 0.868 | Gkogkos G.; Patsonakis C.; Drosou A.; Tzovaras D. | A Dlt-Based Framework For Secure Iot Infrastructure In Smart Communities | Technology in Society, 74 (2023) |
| 12710 | 0.866 | Kuchoor S.K.; Kukreti S.; Battula R.S.S.R.; Singh S.; Panchbhai A.; Natrayan L. | Blockchain-Enhanced Access Control For Iot Systems In Smart Cities | International Conference on Distributed Systems, Computer Networks and Cybersecurity, ICDSCNC 2024 (2024) |
| 54405 | 0.865 | Tekeoglu A.; Ahmed N. | Tangochain: A Lightweight Distributed Ledger For Internet Of Things Devices In Smart Cities | 5th IEEE International Smart Cities Conference, ISC2 2019 (2019) |
| 20658 | 0.86 | Raman R.; Arya S. | Distributed Ledger Technology For Decentralized Virtual Traffic Light Systems In Sustainable Cities | 4th International Conference on Innovative Practices in Technology and Management 2024, ICIPTM 2024 (2024) |
| 31949 | 0.859 | Alharbi S.; Attiah A.; Alghazzawi D. | Integrating Blockchain With Artificial Intelligence To Secure Iot Networks: Future Trends | Sustainability (Switzerland), 14, 23 (2022) |