Application of internet of things-based efficient security solution for industrial

Abstract

Recent years have seen a rise in demonstrations of the Industrial Internet of Things (IIoT). Creating secure Internet of Things (IIoT) applications has become a major challenge. Because of the constant demand for additional functionality, such as foresight, the number of connected devices in the enterprise facility is continually growing. Certifying a smaller number of signatories provides stronger authentication methods and prohibits trustworthy third parties from being publicly certified among the available encryption instruments. Certain network criteria must be met by the virtual network function (VNFs) used in this arrangement. As a result of this output, the final service may be delivered at the lowest possible cost, including processing time and network delay. According to the results of this study, our solution is better suited to simplifying trust management in IIoT devices. These findings reveal that our proposed confidence model may withstand behavioural shifts in hostile IIoT environments. The experimental results show our proposed method BCEPP has a high computational cost of 95.3%, a low latency ratio of 28.5%, and increased data transmitting rate of 94.1%, enhanced security rate of 98.6%, packet reception ratio of 96.1%, user satisfaction index of 94.5%, probability ratio of 33.8% when compared to other methods.

Keywords:

• Industrial internet of things (IIoT)
• blockchain
• trusted third parties
• end point verification

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Mohammed Hasan Ali

Dr. Mohammed Hasan Ali is a Senior Researcher in the Artificial Intelligence & Machine Learning Lab Imam Ja’afar Al-sadiq University. He received his PhD from Faculty of Computing System and Software Engineering Universiti Pahang Malaysia in 2016 and 2019 respectively. Currently working as head of Research Center, Imam Ja’afar Al-sadiq University, Iraq.

Mustafa Musa Jaber

Mustafa Musa Jaber is lecturer at Dijlah University College, He did his bachelor in field of software engineering from Alrafiadain University College and then he completed his master and PhD in field of IT from Malaysia, his interest is human interaction factors, telemedicine, and data warehouse applications.

Sura Khalil Abd

Sura Khalil Abd is lecturer at Dijlah University College, She did his bachelor in field of Information engineering from Alnahrain university and then she completed his master and PhD in field of networking and communication engineering from Malaysia, her interest cloud computing.

Ahmed Alkhayyat

Ahmed Alkhayyat received the B.Sc. degree in electrical engineering from AL KUFA University, Najaf, Iraq, in 2007, the M.Sc. degree from the Dehradun Institute of Technology, Dehradun, India, in 2010, and PhD from Cankaya University, Ankara, Turkey, in 2015. He contributed in organizing a several IEEE conferences, workshop, and special sessions. He is currently a dean of international relationship and manager of the word ranking in the Islamic university, Najaf, Iraq. To serve my community, I acted as a reviewer for several journals and conferences. His research interests include IoT in the health-care system, SDN, network coding, cognitive radio, efficient-energy routing algorithms and efficient-energy MAC protocol in cooperative wireless networks and wireless body area network, as well as cross-layer designing for self-organized network.

Malik R. Q

R. Q. Malik is a lecturer at Al Mustaqbal University College department of Medical instruments engineering techniques, his research interest is Machine learning and the Internet of things.

Mohammad Hussain Ali

Dr. Mohammad Hussain Ali is a lecturer at Mazaya University, department of computer engineering techniques, his research interest is in Deep learning and image processing.