Threat Modelling of IoT Systems Using Distributed Ledger Technologies and IOTA
Authors: Damianou, A., Khan, M.A., Marios Angelopoulos, C. and Katos, V.
Journal: Proceedings - 17th Annual International Conference on Distributed Computing in Sensor Systems, DCOS 2021
Pages: 404-413
ISBN: 9781665439299
DOI: 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.
https://eprints.bournemouth.ac.uk/36971/
Source: Scopus
Threat Modelling of IoT Systems Using Distributed Ledger Technologies and IOTA
Authors: Damianou, A., Khan, M.A., Angelopoulos, C.M. and Katos, V.
Journal: 17TH ANNUAL INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS 2021)
Pages: 404-413
ISSN: 2325-2936
DOI: 10.1109/DCOSS52077.2021.00070
https://eprints.bournemouth.ac.uk/36971/
Source: Web of Science (Lite)
Threat Modelling of IoT Systems Using Distributed Ledger Technologies and IOTA
Authors: Damianou, A., Khan, M.A., Angelopoulos, C.M. and Katos, V.
Conference: 17th International Conference on Distributed Computing in Sensor Systems (DCOSS)
Pages: 404-413
ISBN: 9781665439299
ISSN: 2325-2936
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.
https://eprints.bournemouth.ac.uk/36971/
Source: BURO EPrints