T. Kumar, A. Braeken, V. Ramani, I. Ahmad, E. Harjula and M. Ylianttila, "SEC-BlockEdge: Security Threats in Blockchain-Edge based Industrial IoT Networks," 2019 11th International Workshop on Resilient Networks Design and Modeling (RNDM), Nicosia, Cyprus, 2019, pp. 1-7, doi: 10.1109/RNDM48015.2019.8949107
SEC-BlockEdge : security threats in blockchain-edge based industrial IoT networks
|Author:||Kumar, Tanesh1; Braeken, An2; Ramani, Vidhya1;|
1Centre for Wireless Communication, University of Oulu, Finland
2Industrial Sciences Department (INDI), Vrije Universiteit Brussel, Brussels, Belgium
3VTT Technical Research Centre of Finland
|Online Access:||PDF Full Text (PDF, 0.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020051126026
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2020-05-11
Internet of Things (IoT), together with fifth-generation (5G) mobile systems and related enabling communication technologies, constantly contributing for the enhancement in various industrial applications and driving towards the vision of complete industrial automation. In this context, both Blockchain and Edge computing are considered as promising technologies to fulfill the vision and requirements for the future Industry 4.0. The integration of these technologies together with massive scale Industrial IoT (IIoT) applications would be vital in addressing several key challenges related to e.g. latency, scalability and security of data processing and sharing, among others. However, such complex IIoT systems are constantly exposed to security threats from various sources. This paper focuses on identifying the major security challenges in the IIoT blockchain-edge related networks. In addition, some potential security solutions are presented in order to overcome these challenges.
International Workshop on Reliable Networks Design and Modeling
|Pages:||1 - 7|
2019 11th International Workshop on Resilient Networks Design and Modeling (RNDM)
International Workshop on Resilient Networks Design and Modeling
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported by Academy of Finland, under the projects: Industrial Edge, MEC-AI, WiFiUS: Massive IoT and 6Genesis Flagship projects (grant 318927). Ijaz Ahmad was also supported by the Jorma Ollila grant.
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
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