MODIFIED FOG-BASED TRUST METHOD OF DATA MONITORING FOR MULTI-SENSOR CONFIGURATION SYSTEMS

2022;
: pp. 47-55
1
Lviv Polytechnic National University
2
Lviv Politechnic National University

.A modified Fog-based trust method to prevent third-party interference in establishing trust relationships between sensors and cloud service providers in multi-sensor systems is considered. Trust in behavior between nodes is established at the level of wireless sensor networks; in the nodes and objects data at the Fog layer. With more detailed data analysis of the latter, it becomes possible to monitor the trust status of the entire network, detect data attacks and recover from misjudged nodes. Fog layer can be built as a reliable third party. Experiment results show that the proposed trust mechanism is inherent in advantage due to reducing energy consumption and ensuring the trust state of Edge nodes and whole the network as well as detecting hidden attacks on data and recovering nodes.

[1] D. Xu, M. Li, W. He, Sh. Li, Internet of things in industries: A survey [J]. IEEE Transactions on industrial informatics 10(4), 2233-2243 (2014). DOI:10.1109/TII.2014.2300753. https://ieeexplore.ieee.org/abstract/document/6714496
https://doi.org/10.1109/TII.2014.2300753
[2] Q. Wang, X. Zhu, Y. Ni, L. Gu, H. Zhu, Blockchain for the IoT and industrial IoT: A review [J]. Internet of Things 10, 100081 (2020). DOI:10.1016/j.iot.2019. 100081. https://www.sciencedirect.com/science/article/abs/pii/S 254266051930085X
https://doi.org/10.1016/j.iot.2019.100081
[3] L. Tseng, L. Wong, S. Otoum, M. Aloqaily, J. B. Othman, Blockchain for managing heterogeneous internet of things: A perspective architecture. IEEE network 34(1), 16-23 (2020). DOI: 10.1109/MNET. 001.1900103. https://ieeexplore.ieee.org/abstract/ document/8977441
https://doi.org/10.1109/MNET.001.1900103
[4] R. Basir, S. Qaisar, M. Ali, M. Aldwairi, M. I. Ashraf, A. Mahmood, M. Gidlund, Fog computing enabling industrial internet of things: State-of-the-art and research challenges [J]. Sensors 19(21), 4807 (2019). DOI: 10.3390/s19214807. https://www.mdpi.com/ 1424- 8220/19/21/4807
https://doi.org/10.3390/s19214807
[5] P. O'Donovan, K. Bruton, C. Gallagher, D. O'Sullivan A Fog computing industrial cyber-physical system for embedded low-latency machine learning Industry 4.0 applications [J]. Manufacturing letters 15, 139-142 (2018). DOI: 10.1016/j.mfglet.2018.01.005. https://www.sciencedirect.com/science/article/abs/pii/S 2213846318300087
https://doi.org/10.1016/j.mfglet.2018.01.005
[6] R. Diachok, H. Klym, Data cleaning method in wireless sensor-based on intelligence technology [J]. Measuring Equipment and Metrology 83(2), 5-10 (2022). DOI: 10.23939/istcmtm2022.02.005. https://science.lpnu.ua/uk/istcmtm/vsivypusky/vypusk-83-no2-2022/data-cl...
https://doi.org/10.23939/istcmtm2022.02.005
[7] P. Hu, S. Dhelim, H. Ning, T. Qiu, Survey on fog computing: architecture, key technologies, applications and open issues [J]. Journal of network and computer applications 98, 27-42 (2017). DOI: 10.1016/j.jnca. 2017.09.002. https://www.sciencedirect.com/ science/article/abs/pii/S1084804517302953
https://doi.org/10.1016/j.jnca.2017.09.002
[8] I. Al Ridhawi, M. Aloqaily, A. Boukerche, Comparing fog solutions for energy efficiency in wireless networks: Challenges and opportunities [J]. IEEE Wireless Communications 26(6), 80-86 (2019). DOI: 10.1109/MWC.001.1900077. https://ieeexplore.ieee.org/abstract/document/8938188
https://doi.org/10.1109/MWC.001.1900077
[9] O. Bouachir, M. Aloqaily, L. Tseng, A. Boukerche, Blockchain and fog computing for cyber-physical systems: The case of smart industry [J]. Computer, 53(9), 36-45 (2020). DOI: 10.1109/MC.2020.2996212. https://ieeexplore.ieee.org/document/9187468
https://doi.org/10.1109/MC.2020.2996212
[10] M. Muneeb, K.M. Ko, Y.H. Park, A Fog computing architecture with multi-layer for computing-intensive IoT applications [J]. Applied Sciences 11(24), 11585 (2021). DOI: 10.3390/app112411585. https://www. mdpi.com/2076-3417/11/24/11585
https://doi.org/10.3390/app112411585
[11] A. Naouri, H. Wu, N.A. Nouri, S. Dhelim, H. Ning, A novel framework for mobile-edge computing by optimizing task offloading [J]. IEEE Internet of Things Journal 8(16), 13065-13076 (2021). DOI: 10.1109/JIOT.2021.3064225. https://ieeexplore.ieee.org/abstract/document/9372288
https://doi.org/10.1109/JIOT.2021.3064225
[12] T. Wang, G. Zhang, M. Z. A., Bhuiyan, A. Liu, W. Jia, M. Xie, A novel trust mechanism based on fog computing in sensor-cloud system [J]. Future Generation Computer Systems 109, 573-582 (2020). DOI: 10.1016/j.future. 2018.05.049. https://www. sciencedirect. com/science/ article/abs/pii/S0167739X17323658
https://doi.org/10.1016/j.future.2018.05.049