Self-adaptive credit-based framework for blockchain-based IoT (BIoT)
Abstract
The Internet of Things (IoT) connects and improves crucial global technologies like sensor nodes. The Internet is evolving from a human-centric network to one that enables inanimate things to wirelessly communicate with one another. The lifespan of an IoT network may be affected by the energy requirements of its routing protocol. Data is transmitted through the internet, and it may compromise the security of the data. An attacker can access the data and modify the data in order to break the security of the network. Although various solutions are available, such as cryptography and steganography-based approaches, none provide secure data transmission in large-scale networks with low energy consumption. Blockchain technology plays a vital role in the prevention of network malware. In this paper, an attempt has been made to propose a credit-based mechanism for secure data transmission in an efficient manner with low energy consumption. In order to achieve optimal results, the proposed framework uses blockchain for data security and credit distribution to avoid delays. The proposed framework has been simulated using the Contiki Cooja (CC) simulator. The efficiency of the proposed framework is measured by comparing its performance with state-of-the-art techniques.
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1. Bhushan B, Sahoo C, Sinha P, Khamparia A. Unification of Blockchain and Internet of Things (BIoT): Requirements, working model, challenges and future directions. Wireless Networks 2021; 27(1): 55–90. doi: 10.1007/s11276-020-02445-6
2. Christidis K, Devetsikiotis M. Blockchains and smart contracts for the internet of things. Ieee Access2016; 4: 2292–2303. doi: 10.1109/access.2016.2566339
3. Wang X, Zha X, Ni W, et al. Survey on blockchain for Internet of Things. Computer Communications 2019; 136: 10–29. doi: 10.1016/j.comcom.2019.01.006
4. Haque MR, Tan SC, YusoffZ, et al. SDN architecture for UAVs and EVs using satellite: A hypothetical model and new challenges for future. In: Proceedings of the 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC); 9–12 January 2021; Las Vegas, NV, USA. pp. 1–6.
5. Abdelmaboud A, Ahmed AIA, Abaker M, et al. Blockchain for IoT applications: taxonomy, platforms, recent advances, challenges and future research directions. Electronics 2022; 11(4): 630. doi: 10.3390/electronics11040630
6. Dai HN, Zheng Z, Zhang Y. Blockchain for Internet of Things: A survey. IEEE Internet of Things Journal2019; 6(5): 8076–8094. doi: 10.1109/jiot.2019.2920987
7. Rana A, Chakraborty C, Sharma S, et al. Internet of medical things-based secure and energy-efficient framework for health care. Big Data 2022; 10(1): 18–33. doi: 10.1089/big.2021.0202
8. Harada S, Yan Z, Park YJ, et al. Data aggregation in named data networking. In: Proceedings of the TENCON 2017—2017 IEEE region 10 conference; 5–8 November 2017; Penang, Malaysia. pp. 1839–1842.
9. Rana AK, Sharma S. Enhanced energy-efficient heterogeneous routing protocols in WSNs for IoT application. International Journal of Engineering and Advanced Technology 2019; 9(1): 4418–4415. doi: 10.35940/ijeat.a1342.109119
10. Rao AR, Clarke D. Perspectives on emerging directions in using IoT devices in blockchain applications. Internet of Things 2020; 10: 100079. doi: 10.1016/j.iot.2019.100079
11. Samaniego M, Deters R. Using blockchain to push software-defined IoT components onto edge hosts. In: Proceedings of the international conference on big data and advanced wireless technologies; 10 November 2016; pp. 1–9.
12. Alkhabbas F, Alsadi M, Alawadi S, et al. Assert: A blockchain-based architectural approach for engineering secure self-adaptive IOT systems. Sensors 2022; 22(18): 6842. doi: 10.3390/s22186842
13. Ahmed A, Abdullah S, Bukhsh M, et al. An energy-efficient data aggregation mechanism for IoT secured by blockchain. IEEE Access 2022; 10: 11404–11419. doi: 10.1109/access.2022.3146295
14. Sodhro AH, Pirbhulal S, Muzammal M, Zongwei L. Towards blockchain-enabled security technique for industrial internet of things based decentralized applications. Journal of Grid Computing 2020; 18(4): 615–628. doi: 10.1007/s10723-020-09527-x
15. Mao W, Zhao Z, Chang Z, et al. Energy-efficient industrial internet of things: Overview and open issues. IEEE Transactions on Industrial Informatics 2021; 17(11): 7225–7237. doi: 10.1109/tii.2021.3067026
16. Fernando Y, Saravannan R. Blockchain technology: Energy efficiency and ethical compliance. Journal of Governance and Integrity 2021; 4(2): 88–95. doi: 10.15282/jgi.4.2.2021.5872
17. Sodhro AH, Zahid N, Wang L, et al. Toward ML-based energy-efficient mechanism for 6G enabled industrial network in box systems. IEEE Transactions on Industrial Informatics 2020; 17(10): 7185–7192. doi: 10.1109/tii.2020.3026663
18. Zahid N, Sodhro AH, Kamboh UR, et al. AI-driven adaptive reliable and sustainable approach for internet of things enabled healthcare system. Mathematical Biosciences and Engineering 2022; 19(4): 3953–3971. doi: 10.3934/mbe.2022182
19. Wang X, Garg S, Lin H, et al. A secure data aggregation strategy in edge computing and blockchain-empowered Internet of Things. IEEE Internet of Things Journal 2020; 9(16): 14237–14246. doi: 10.1109/jiot.2020.3023588
20. Zhang T, Sodhro AH, Luo Z, et al. A joint deep learning and internet of medical things driven framework for elderly patients. IEEE Access 2020; 8: 75822–75832. doi: 10.1109/access.2020.2989143
21. Ali FS, Bouachir O, Özkasap Ö, Aloqaily M. SynergyChain: Blockchain-assisted adaptive cyber-physical P2P energy trading. IEEE Transactions on Industrial Informatics 2020; 17(8): 5769–5778. doi: 10.1109/tii.2020.3046744
22. Singh I, Lee SW. Self-adaptive and secure mechanism for IoT based multimedia services: A survey. Multimedia Tools and Applications 2021; 81(19):26685–26720. doi: 10.1007/s11042-020-10493-5
23. Satamraju KP, Malarkodi B. Proof of concept of scalable integration of internet of things and blockchain in healthcare. Sensors 2020; 20(5): 1389. doi: 10.3390/s20051389
24. Rasolroveicy M. A self-adaptive blockchain framework to balance performance, security, and energy consumption in IoT applications. In: Proceedings of the 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C); 17–21 August 2020; Washington, DC, USA. pp. 243–245.
25. Wu J, Haider SA, Soni M, et al. Blockchain based energy efficient multi-tasking optimistic scenario for mobile edge computing. PeerJ Computer Science 2022; 8: e1118. doi: 10.7717/peerj-cs.1118
26. Yuan Y, Wang FY. Towards blockchain-based intelligent transportation systems. In: Proceedings of the 2016 IEEE 19th international conference on intelligent transportation systems (ITSC); 1–4 November 2016; Rio de Janeiro, Brazil. pp. 2663–2668.
27. Banerjee M, Lee J, Choo KKR. A blockchain future for internet of things security: A position paper. Digital Communications and Networks 2018; 4(3): 149–160. doi: 10.1016/j.dcan.2017.10.006
28. Subahi AF, Khalaf OI, Alotaibi Y, et al. Modified Self-Adaptive Bayesian algorithm for smart heart disease prediction in IoT system. Sustainability 2022; 14(21): 14208. doi: 10.3390/su142114208
29. Javaid U, Sikdar B. A checkpoint enabled scalable blockchain architecture for industrial internetof things. IEEE Transactions on Industrial Informatics 2020; 17(11): 7679–7687. doi: 10.1109/tii.2020.3032607
30. 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
DOI: https://doi.org/10.32629/jai.v7i2.1183
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