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An efficient framework for secure data transmission using blockchain in IoT environment

Shyama Barna Bhattacharjee, Shivam Gangwar, Manish Kumar, Kirti Saini, Rashmi Saini, Shivani Chauhan, Krishna Pandey, Richard Essah, Nitin Goyal

Abstract


The secure and efficient sharing of data has been recognised as a significant concern in Internet of Things (IoT)-enabled smart systems, including smart cities, smart agriculture, and smart health applications. Smart systems utilise a substantial quantity of IoT devices, which in turn generate a significant volume of data. Internet of Things (IoT) devices typically possess constrained storage and processing capacities, making the implementation of security measures on such devices a difficult task. This paper presents a framework for secure data transmission using blockchain (SDTUB) for blockchain-based IoT systems, with a focus on enhancing data security. The use of clustered authorization aims to enhance the interoperability of IoT authorization. The central blockchain is employed for permission purposes concerning cluster management nodes, whereas the regional blockchain suffices for authorization of regular nodes. The proposed mechanism is implemented using MATLAB, and the performance is analysed using performance metrics such as energy consumption and objective value. In the proposed mechanism, the energy consumption is low compared to the AuBWSN technique.


Keywords


IoT; blockchain; security; attacks; authentication

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References


1. Abosata N, Al-Rubaye S, Inalhan G, et al. Internet of Things for System Integrity: A Comprehensive Survey on Security, Attacks and Countermeasures for Industrial Applications. Sensors. 2021, 21(11): 3654. doi: 10.3390/s21113654

2. Bezawada B, Bachani M, Peterson J, et al. Behavioral Fingerprinting of IoT Devices. Proceedings of the 2018 Workshop on Attacks and Solutions in Hardware Security. Published online January 15, 2018. doi: 10.1145/3266444.3266452

3. Bai L, Yao L, Kanhere SS, et al. Automatic Device Classification from Network Traffic Streams of IoT. In Proceedings of the 2018 IEEE 43rd Conference on Local Computer Networks (LCN). IEEE. pp. 1-9. https://doi.org/10.1109/LCN.2018.8638098

4. Kolcun R, Popescu DA, Safronov V, et al. Revisiting IoT Device Identification. arXiv, 2018, arXiv:2107.07818.

5. Yousefnezhad N, Malhi A, Främling K. Automated IoT Device Identification Based on Full Packet Information Using Real-Time Network Traffic. Sensors. 2021, 21(8): 2660. doi: 10.3390/s21082660

6. Sabir A, Sheeraz A, Fasee U, et al. IoT with BlockChain: A Futuristic Approach in Agriculture and Food Supply Chain. Wireless Communications and Mobile Computing, 2021, 5580179. doi: 10.1155/2021/5580179

7. Yongxin L, Wang J, Li J, et al. ML for the Detection and Identification of IoT Devices: A Survey. IEEE Internet of Things Journal, 2020, 7, 298-320. doi: 10.1109/JIOT.2019.2922620

8. Azarmehr M, Mehta A, Rashidzadeh R. Wireless device identification using oscillator control voltage as RF fingerprint. In Proceedings of the 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE. pp. 1-4. doi: 10.1109/CCECE.2017.7946629

9. Bihl TJ, Bauer KW, Temple MA. Feature Selection for RF Fingerprinting with Multiple Discriminant Analysis and Using ZigBee Device Emissions. IEEE Transactions on Information Forensics and Security. 2016, 11(8): 1862-1874. doi: 10.1109/tifs.2016.2561902

10. Wang C, Lin Y, Zhang Z. Research on Physical Layer Security of Cognitive Radio Network Based on RF-DNA. In Proceedings of the 2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C). IEEE. pp. 252-255. doi: 10.1109/QRS-C.2017.37

11. Zhang A, Zhang P, Wang H, Lin X. Application-oriented block generation for consortium blockchain-based IoT systems with dynamic device management. IEEE Internet of Things Journal, 2020, 8(10), 7874-7888. doi: 10.1109/JIOT.2020.3015042

12. Gong S, Tcydenova E, Jo J, et al. Blockchain-Based Secure Device Management Framework for an Internet of Things Network in a Smart City. Sustainability. 2019, 11(14): 3889. doi: 10.3390/su11143889

13. He Q, Xu Y, Liu Z, et al. A privacy-preserving Internet of Things device management scheme based on blockchain. International Journal of Distributed Sensor Networks. 2018, 14(11): 155014771880875. doi: 10.1177/1550147718808750

14. Wickstrom J, Westerlund M, Pulkkis G. Smart Contract based Distributed IoT Security: A Protocol for Autonomous Device Management. 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid). Published online May 2021. doi: 10.1109/ccgrid51090.2021.00094

15. Loukil F, Ghedira-Guegan C, Boukadi K, et al. Data Privacy Based on IoT Device Behavior Control Using Blockchain. ACM Transactions on Internet Technology. 2021, 21(1): 1-20. doi: 10.1145/3434776

16. Novo O. Scalable Access Management in IoT Using Blockchain: A Performance Evaluation. IEEE Internet of Things Journal. 2019, 6(3): 4694-4701. doi: 10.1109/jiot.2018.2879679

17. Moon H se, Song J, Shin H, et al. home IoT device management blockchain platform using smart contracts and a countermeasure against 51% attacks. 2022 4th Asia Pacific Information Technology Conference. Published online January 14, 2022. doi: 10.1145/3512353.3512381

18. Qureshi JN, Farooq MS, Abid A, et al. Blockchain applications for the Internet of Things: Systematic review and challenges. Microprocessors and Microsystems. 2022, 94: 104632. doi: 10.1016/j.micpro.2022.104632

19. Zhang K, Yu J, Lin C, et al. Blockchain-based access control for dynamic device management in microgrid. Peer-to-Peer Networking and Applications. 2022, 15(3): 1653-1668. doi: 10.1007/s12083-022-01316-5

20. Rana A, Sharma S, Nisar K, et al. The Rise of Blockchain Internet of Things (BIoT): Secured, Device-to-Device Architecture and Simulation Scenarios. Applied Sciences. 2022, 12(15): 7694. doi: 10.3390/app12157694

21. Li J, Herdem MS, Nathwani J, et al. Methods and applications for Artificial Intelligence, Big Data, Internet of Things, and Blockchain in smart energy management. Energy and AI. 2023, 11: 100208. doi: 10.1016/j.egyai.2022.100208

22. Rana SK, Rana SK, Nisar K, et al. Blockchain Technology and Artificial Intelligence Based Decentralized Access Control Model to Enable Secure Interoperability for Healthcare. Sustainability. 2022, 14(15): 9471. doi: 10.3390/su14159471

23. Deebak BD, Memon FH, Dev K, et al. TAB-SAPP: A Trust-Aware Blockchain-Based Seamless Authentication for Massive IoT-Enabled Industrial Applications. IEEE Transactions on Industrial Informatics. 2023, 19(1): 243-250. doi: 10.1109/tii.2022.3159164

24. Kairaldeen AR, Abdullah NF, Abu-Samah A, et al. Peer-to-Peer User Identity Verification Time Optimization in IoT Blockchain Network. Sensors. 2023, 23(4): 2106. doi: 10.3390/s23042106

25. Mubarakali A. An Efficient Authentication Scheme Using Blockchain Technology for Wireless Sensor Networks. Wireless Personal Communications. 2021, 127(1): 255-269. doi: 10.1007/s11277-021-08212-w




DOI: https://doi.org/10.32629/jai.v7i2.1073

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Copyright (c) 2023 Shyama Barna Bhattacharjee, Shivam Gangwar, Manish Kumar, Kirti Saini, Rashmi Saini, Shivani Chauhan, Krishna Pandey, Richard Essah, Nitin Goyal

License URL: https://creativecommons.org/licenses/by-nc/4.0/