TY - JOUR
T1 - A Secure and Trusted Mechanism for Industrial IoT Network Using Blockchain
AU - Rathee, Geetanjali
AU - Ahmad, Farhan
AU - Jaglan, Naveen
AU - Konstantinou, Charalambos
N1 - Publisher Copyright:
© 2005-2012 IEEE.
PY - 2023/2/1
Y1 - 2023/2/1
N2 - Industrial Internet-of-Things (IIoT) is a powerful IoT application, which remodels the growth of industries by ensuring transparent communication among various entities such as hubs, manufacturing places, and packaging units. Introducing data science techniques within the IIoT improves the ability to analyze the collected data in a more efficient manner, which current IIoT architectures lack due to their distributed nature. From a security perspective, network anomalies/attackers pose high security risk in IIoT. In this article, we have addressed this problem, where a coordinator IoT device is elected to compute the trust of IoT devices to prevent the MD to be part of network. Further, the transparency of the data is ensured by integrating a blockchain-based data model. The performance of the proposed framework is validated extensively and rigorously via MATLAB against various security metrics such as attack strength, message alteration, and probability of false authentication. The simulation results suggest that the proposed solution increases IIoT network security by efficiently detecting malicious attacks in the network.
AB - Industrial Internet-of-Things (IIoT) is a powerful IoT application, which remodels the growth of industries by ensuring transparent communication among various entities such as hubs, manufacturing places, and packaging units. Introducing data science techniques within the IIoT improves the ability to analyze the collected data in a more efficient manner, which current IIoT architectures lack due to their distributed nature. From a security perspective, network anomalies/attackers pose high security risk in IIoT. In this article, we have addressed this problem, where a coordinator IoT device is elected to compute the trust of IoT devices to prevent the MD to be part of network. Further, the transparency of the data is ensured by integrating a blockchain-based data model. The performance of the proposed framework is validated extensively and rigorously via MATLAB against various security metrics such as attack strength, message alteration, and probability of false authentication. The simulation results suggest that the proposed solution increases IIoT network security by efficiently detecting malicious attacks in the network.
KW - Blockchain
KW - Industrial Internet-of-Things (IIoT)
KW - secure IoT devices
KW - security
KW - trust management
UR - http://www.scopus.com/inward/record.url?scp=85132699528&partnerID=8YFLogxK
U2 - 10.1109/TII.2022.3182121
DO - 10.1109/TII.2022.3182121
M3 - Article
AN - SCOPUS:85132699528
VL - 19
SP - 1894
EP - 1902
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
SN - 1551-3203
IS - 2
M1 - 9795122
ER -