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Blockchain Based Big Data Solutions for Internet of Things (IoT) and Smart Cities

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New Trends and Applications in Internet of Things (IoT) and Big Data Analytics

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 221))

Abstract

The popularity of both the blockchain and Big Data (BD) with its extensive applications, with the most ongoing research in various scientific and practical areas. Although both of these technologies are still in their initial and experimenting phase, Internet of Things (IoT) complements the data collection for BD. Moreover, Blockchain has been seen as a revolutionary solution towards the major problems in the field of BD like data-driven decisions, data ownership, identity, trust, and decentralization. In the modern era, the world has seen a huge expansion in the diversity and quantity of data generated by machines and users. Lacking the best possible way to process, organize and store BD, the Blockchain technology is here for the rescue. Blockchain's proposed solution towards decentralized management of the public institution, IoT communication, digital property resolution, and private data has created a deep impact on the evolution of BD. This paper proposes a novel solution 89towards the gap of the BD technology with the help of Blockchain technology.

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References

  1. Salloum, S., Huang, J.Z., He, Y.: Random sample partition: a distributed data model for BD Analysis. IEEE Trans. Ind. Inf. 15(11), 5846–5854 (2019). https://doi.org/10.1109/tii.2019.2912723

    Article  Google Scholar 

  2. Feng, M., Zheng, J., Ren, J., Hussain, A., Li, X., Xi, Y., Liu, Q.: BD Analytics and mining for effective visualization and trends forecasting of Crime Data. IEEE Access 7, 106111–106123 (2019). https://doi.org/10.1109/access.2019.2930410

    Article  Google Scholar 

  3. L’Heureux, A., Grolinger, K., Elyamany, H.F., Capretz, M.A.: Machine learning with BD: challenges and approaches. IEEE Access 5, 7776–7797 (2017). https://doi.org/10.1109/access.2017.2696365

    Article  Google Scholar 

  4. Gao, Y., Chen, X., Du, X.: A BD provenance model for data security supervision based on Prov-DM Model. IEEE Access 8, 38742–38752 (2020). https://doi.org/10.1109/access.2020.2975820

    Article  Google Scholar 

  5. Wang, X., Yang, L.T., Liu, H., Deen, M.J.: A BD-as-a-service framework: state-of-the-art and perspectives. IEEE Trans. BD 4(3), 325–340 (2018). https://doi.org/10.1109/tbdata.2017.2757942

    Article  Google Scholar 

  6. Viceconti, M., Hunter, P., Hose, R.: BD, big knowledge: BD for personalized healthcare. IEEE J. Biomed. Health Inform. 19(4), 1209–1215 (2015). https://doi.org/10.1109/jbhi.2015.2406883

    Article  Google Scholar 

  7. Yin, S., Kaynak, O.: BD for modern industry: challenges and trends [point of view]. Proc. IEEE 103(2), 143–146 (2015). https://doi.org/10.1109/jproc.2015.2388958

    Article  Google Scholar 

  8. Katal, A., Wazid, M., Goudar, R.H.: BD: Issues, challenges, tools and good practices. In: 2013 Sixth International Conference on Contemporary Computing (IC3) (2013). https://doi.org/10.1109/ic3.2013.6612229

  9. Tsai, C.W., Lai, C.-F., Chao, H.-C., Vasilakos, A.V.: BD analytics: a survey. J. BD 2(1) (2015). https://doi.org/10.1186/s40537-015-0030-3

  10. Oussous, A., Benjelloun, F.-Z., Ait Lahcen, A., Belfkih, S.: BD technologies: a survey. J. King Saud Univ. Comput. Inf. Sci. 30(4), 431–448 (2018). https://doi.org/10.1016/j.jksuci.2017.06.001

    Article  Google Scholar 

  11. Aujla, G.S., Chaudhary, R., Kumar, N., Das, A.K., Rodrigues, J.J.: Secsva: secure Storage, verification, and auditing of BD in the cloud environment. IEEE Commun. Mag. 56(1), 78–85 (2018). https://doi.org/10.1109/mcom.2018.1700379

    Article  Google Scholar 

  12. Cui, L., Yu, F.R., Yan, Q.: When BD meets software-defined networking: SDN for BD and BD for SDN. IEEE Netw. 30(1), 58–65 (2016). https://doi.org/10.1109/mnet.2016.7389832

    Article  Google Scholar 

  13. Bhushan, B., Sahoo, C., Sinha, P., Khamparia, A.: Unification of Blockchain and Internet of Things (BIoT): requirements, working model, challenges and future directions. Wirel. Netw. (2020). https://doi.org/10.1007/s11276-020-02445-6

    Article  Google Scholar 

  14. Singh, S.K., Rathore, S., Park, J.H.: Blockiotintelligence: a blockchain-enabled intelligent IOT architecture with artificial intelligence. Futur. Gener. Comput. Syst. 110, 721–743 (2020). https://doi.org/10.1016/j.future.2019.09.002

    Article  Google Scholar 

  15. Saxena, S., Bhushan, B., Ahad, M.A.: Blockchain based solutions to Secure IoT: background, integration trends and a way forward. J. Netw. Comput. Appl. 103050,(2021). https://doi.org/10.1016/j.jnca.2021.103050

  16. Bhushan, B., Sinha, P., Sagayam, K.M., J, A.: Untangling blockchain technology: a survey on state of the art, security threats, privacy services, applications and future research directions. Comput. Electr. Eng. 90,(2021). https://doi.org/10.1016/j.compeleceng.2020.106897

  17. Yuan, Y., Wang, F.-Y.: Blockchain and cryptocurrencies: Model, Techniques, and applications. IEEE Trans. Syst. Man Cybernet. Syst. 48(9), 1421–1428 (2018). https://doi.org/10.1109/tsmc.2018.2854904

    Article  Google Scholar 

  18. Bhushan, B., Sharma, N.: Transaction privacy preservations for blockchain technology. Adv. Intell. Syst. Comput. Int. Conf. Innovat. Comput. Commun. 377–393,(2020). https://doi.org/10.1007/978-981-15-5148-2_34

  19. Shalini, S., Santhi, H.: A survey on various attacks in Bitcoin and cryptocurrency. In: 2019 International Conference on Communication and Signal Processing (ICCSP) (2019). https://doi.org/10.1109/iccsp.2019.8697996

  20. Casino, F., Dasaklis, T.K., Patsakis, C.: A systematic literature review of blockchain-based applications: current status, classification and open issues. Telemat. Inform. 36, 55–81 (2019). https://doi.org/10.1016/j.tele.2018.11.006

    Article  Google Scholar 

  21. Huang, H., Kong, W., Zhou, S., Zheng, Z., Guo, S.: A survey of state-of-the-art on Blockchains. ACM Comput. Surv. 54(2), 1–42 (2021). https://doi.org/10.1145/3441692

    Article  Google Scholar 

  22. Goyal, S., Sharma, N., Kaushik, I., Bhushan, B.: Blockchain as a solution for security attacks in named data networking of things. Secur. Priv. Issues IoT Dev. Sens. Netw. 211–243,(2021). https://doi.org/10.1016/b978-0-12-821255-4.00010-9

  23. Angelis, J., Ribeiro da Silva, E.: Blockchain adoption: a value driver perspective. Bus. Horiz. 62(3), 307–314 (2019). https://doi.org/10.1016/j.bushor.2018.12.001

    Article  Google Scholar 

  24. Biswal, A., Bhushan, B.: Blockchain for Internet of Things: architecture, consensus advancements, challenges and application areas. In: 2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA) (2019). https://doi.org/10.1109/iccubea47591.2019.9129181

  25. Zheng, W., Zheng, Z., Chen, X., Dai, K., Li, P., Chen, R.: NutBaaS: a blockchain-as-a-service platform. IEEE Access 7, 134422–134433 (2019). https://doi.org/10.1109/access.2019.2941905

    Article  Google Scholar 

  26. Soni, S., Bhushan, B.: A Comprehensive survey on Blockchain: working, security analysis, privacy threats and potential applications. In: 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT) (2019). https://doi.org/10.1109/icicict46008.2019.8993210

  27. Moin, S., Karim, A., Safdar, Z., Safdar, K., Ahmed, E., Imran, M.: Securing IoTs in distributed blockchain: analysis, requirements and open issues. Futur. Gener. Comput. Syst. 100, 325–343 (2019). https://doi.org/10.1016/j.future.2019.05.023

    Article  Google Scholar 

  28. Gupta, S., Sinha, S., Bhushan, B.: Emergence of blockchain technology: fundamentals, working and its various implementations. SSRN Electr. J. (2020). https://doi.org/10.2139/ssrn.3569577

  29. Leonardos, S., Reijsbergen, D., Piliouras, G.: Presto: a systematic framework for blockchain consensus protocols. IEEE Trans. Eng. Manage. 67(4), 1028–1044 (2020). https://doi.org/10.1109/tem.2020.2981286

    Article  Google Scholar 

  30. Kumar, G., Saha, R., Rai, M.K., Thomas, R., Kim, T.-H.: Proof-of-work consensus approach in Blockchain Technology for cloud and fog computing using maximization-factorization statistics. IEEE Internet Things J. 6(4), 6835–6842 (2019). https://doi.org/10.1109/jiot.2019.2911969

    Article  Google Scholar 

  31. Cho, H.: Correction to “ASIC-resistance of multi-hash proof-of-work mechanisms for blockchain consensus protocols.” IEEE Access 7, 25086–25086 (2019). https://doi.org/10.1109/access.2019.2900054

    Article  Google Scholar 

  32. Nguyen, C.T., Hoang, D.T., Nguyen, D.N., Niyato, D., Nguyen, H.T., Dutkiewicz, E.: Proof-of-stake consensus mechanisms for future blockchain networks: fundamentals, applications and opportunities. IEEE Access 7, 85727–85745 (2019). https://doi.org/10.1109/access.2019.2925010

    Article  Google Scholar 

  33. Yang, F., Zhou, W., Wu, Q.Q., Long, R., Xiong, N.N., Zhou, M.: Delegated proof of stake with downgrade: a secure and efficient blockchain consensus algorithm with Downgrade mechanism. IEEE Access 7, 118541–118555 (2019). https://doi.org/10.1109/access.2019.2935149

    Article  Google Scholar 

  34. Saad, M., Qin, Z., Ren, K., Nyang, D.H., Mohaisen, D.: E-pos: making proof-of-stake decentralized and Fair. IEEE Trans. Parallel Distrib. Syst. 32(8), 1961–1973 (2021). https://doi.org/10.1109/tpds.2020.3048853

    Article  Google Scholar 

  35. Gourisetti, S.N., Mylrea, M., Patangia, H.: Evaluation and demonstration of blockchain applicability framework. IEEE Trans. Eng. Manage. 67(4), 1142–1156 (2020). https://doi.org/10.1109/tem.2019.2928280

    Article  Google Scholar 

  36. Racsko, P.: Blockchain and democracy. Soc. Econ. 41(3), 353–369 (2019). https://doi.org/10.1556/204.2019.007

    Article  Google Scholar 

  37. Zhang, C., Wu, C., Wang, X.: Overview of blockchain consensus mechanism. In: Proceedings of the 2020 2nd International Conference on BD Engineering (2020). https://doi.org/10.1145/3404512.3404522

  38. Chen, L., Xu, L., Shah, N., Gao, Z., Lu, Y., Shi, W.: On security analysis of proof-of-elapsed-time (poet). Lect. Notes Comput. Sci. 282–297,(2017). https://doi.org/10.1007/978-3-319-69084-1_19

  39. Toyoda, K., Machi, K., Ohtake, Y., Zhang, A.N.: Function-level bottleneck analysis of private proof-of-authority Ethereum Blockchain. IEEE Access 8, 141611–141621 (2020). https://doi.org/10.1109/access.2020.3011876

    Article  Google Scholar 

  40. Zhang, L., Xie, Y., Zheng, Y., Xue, W., Zheng, X., Xu, X.: The challenges and countermeasures of Blockchain in finance and economics. Syst. Res. Behav. Sci. 37(4), 691–698 (2020). https://doi.org/10.1002/sres.2710

    Article  Google Scholar 

  41. Jindal, A., Kumar, N., Singh, M.: A unified framework for BD acquisition, storage, and analytics for demand response management in Smart Cities. Futur. Gener. Comput. Syst. 108, 921–934 (2020). https://doi.org/10.1016/j.future.2018.02.039

    Article  Google Scholar 

  42. Sun, G., Chang, V., Guan, S., Ramachandran, M., Li, J., Liao, D.: BD and internet of things—fusion for different services and its impacts. Futur. Gener. Comput. Syst. 86, 1368–1370 (2018). https://doi.org/10.1016/j.future.2018.05.022

    Article  Google Scholar 

  43. Jagadish, H.V., Gehrke, J., Labrinidis, A., Papakonstantinou, Y., Patel, J.M., Ramakrishnan, R., Shahabi, C.: BD and its technical challenges. Commun. ACM 57(7), 86–94 (2014). https://doi.org/10.1145/2611567

    Article  Google Scholar 

  44. Rajan, S.: Cisco, Chief Dreamer, internet revolution. SSRN Electron. J. (2015). https://doi.org/10.2139/ssrn.2675450

    Article  Google Scholar 

  45. Mohammadi, M., Al-Fuqaha, A., Sorour, S., Guizani, M.: Deep learning for IOT BD and streaming analytics: a survey. IEEE Commun. Surv. Tutori. 20(4), 2923–2960 (2018). https://doi.org/10.1109/comst.2018.2844341

    Article  Google Scholar 

  46. Alsheikh, M.A., Niyato, D., Lin, S., Tan, H.-pink, & Han, Z.: Mobile BD analytics using deep learning and apache spark. IEEE Netw. 30(3), 22–29 (2016). https://doi.org/10.1109/mnet.2016.7474340

    Article  Google Scholar 

  47. Reddy, G.T., Reddy, M.P., Lakshmanna, K., Kaluri, R., Rajput, D.S., Srivastava, G., Baker, T.: Analysis of dimensionality reduction techniques on BD. IEEE Access 8, 54776–54788 (2020). https://doi.org/10.1109/access.2020.2980942

    Article  Google Scholar 

  48. Rawat, D.B., Doku, R., Garuba, M.: Cybersecurity in BD era: From securing BD to data-driven security. IEEE Trans. Serv. Comput. 14(6), 2055–2072 (2021). https://doi.org/10.1109/tsc.2019.2907247

    Article  Google Scholar 

  49. Tang, M.J., Alazab, M., Luo, Y.: BD for cybersecurity: vulnerability disclosure trends and dependencies. IEEE Trans. BD 5(3), 317–329 (2019). https://doi.org/10.1109/tbdata.2017.2723570

    Article  Google Scholar 

  50. Samaraweera, G.D., Chang, J.M.: Security and privacy implications on database systems in BD Era: a survey. IEEE Trans. Knowl. Data Eng. 33(1), 239–258 (2021). https://doi.org/10.1109/tkde.2019.2929794

    Article  Google Scholar 

  51. Wang, H., Zhang, J.: Blockchain based data integrity verification for large-scale IOT Data. IEEE Access 7, 164996–165006 (2019). https://doi.org/10.1109/access.2019.2952635

    Article  Google Scholar 

  52. Zhang, Z., Wang, Y., Xie, L.: A novel data integrity attack detection algorithm based on improved grey relational analysis. IEEE Access 6, 73423–73433 (2018). https://doi.org/10.1109/access.2018.2884504

    Article  Google Scholar 

  53. Balagolla, E.M.S.W., Fernando, W.P.C., Rathnayake, R.M.N.S., Wijesekera, M.J.M.R.P., Senarathne, A.N., Abeywardhana, K.Y.: Credit card fraud prevention using blockchain. In: 2021 6th International Conference for Convergence in Technology (I2CT) (2021). https://doi.org/10.1109/i2ct51068.2021.9418192

  54. Paik, H.-Y., Xu, X., Bandara, H.M., Lee, S.U., Lo, S.K.: Analysis of data management in blockchain-based systems: from architecture to governance. IEEE Access 7, 186091–186107 (2019). https://doi.org/10.1109/access.2019.2961404

    Article  Google Scholar 

  55. Al-Zahrani, F.A.: Subscription-based data-sharing model using blockchain and data as a Service. IEEE Access 8, 115966–115981 (2020). https://doi.org/10.1109/access.2020.3002823

    Article  Google Scholar 

  56. Wang, Y., Zhang, A., Zhang, P., Wang, H.: Cloud-assisted EHR sharing with security and Privacy Preservation via consortium blockchain. IEEE Access 7, 136704–136719 (2019). https://doi.org/10.1109/access.2019.2943153

    Article  Google Scholar 

  57. Lee, D.: BD quality assurance through data traceability: a case study of the national standard reference data program of Korea. IEEE Access 7, 36294–36299 (2019). https://doi.org/10.1109/access.2019.2904286

    Article  Google Scholar 

  58. Arora, D., Gautham, S., Gupta, H., Bhushan, B.: Blockchain-based Security Solutions to Preserve Data Privacy and Integrity. In: 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (2019). https://doi.org/10.1109/icccis48478.2019.8974503

  59. Chen, J., Lv, Z., Song, H.: Design of personnel BD management system based on Blockchain. Futur. Gener. Comput. Syst. 101, 1122–1129 (2019). https://doi.org/10.1016/j.future.2019.07.037

    Article  Google Scholar 

  60. Varshney, T., Sharma, N., Kaushik, I., Bhushan, B.: Architectural model of security threats & their countermeasures in IoT. In: 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (2019). https://doi.org/10.1109/icccis48478.2019.8974544

  61. Liu, C.H., Lin, Q., Wen, S.: Blockchain-enabled data collection and sharing for industrial IoT with deep reinforcement learning. IEEE Trans. Ind. Inf. 15(6), 3516–3526 (2019). https://doi.org/10.1109/tii.2018.2890203

    Article  Google Scholar 

  62. Xu, C., Wang, K., Li, P., Guo, S., Luo, J., Ye, B., Guo, M.: Making BD open in edges: a resource-efficient blockchain-based approach. IEEE Trans. Parallel Distrib. Syst. 30(4), 870–882 (2019). https://doi.org/10.1109/tpds.2018.2871449

    Article  Google Scholar 

  63. Sun, J., Yao, X., Wang, S., Wu, Y.: Blockchain-based secure storage and access scheme for electronic medical records in ipfs. IEEE Access 8, 59389–59401 (2020). https://doi.org/10.1109/access.2020.2982964

    Article  Google Scholar 

  64. Shen, M., Zhang, J., Zhu, L., Xu, K., Tang, X.: Secure SVM training over vertically-partitioned datasets using consortium blockchain for vehicular social networks. IEEE Trans. Veh. Technol. 69(6), 5773–5783 (2020). https://doi.org/10.1109/tvt.2019.2957425

    Article  Google Scholar 

  65. Bernal Bernabe, J., Canovas, J.L., Hernandez-Ramos, J.L., Torres Moreno, R., Skarmeta, A.: Privacy-preserving solutions for blockchain: review and challenges. IEEE Access 7, 164908–164940 (2019). https://doi.org/10.1109/access.2019.2950872

    Article  Google Scholar 

  66. Ali, M.S., Vecchio, M., Pincheira, M., Dolui, K., Antonelli, F., Rehmani, M.H.: Applications of blockchains in the internet of things: a comprehensive survey. IEEE Commun. Surv. Tutor. 21(2), 1676–1717 (2019). https://doi.org/10.1109/comst.2018.2886932

    Article  Google Scholar 

  67. Dwivedi, A., Srivastava, G., Dhar, S., Singh, R.: A decentralized privacy-preserving healthcare blockchain for IoT. Sensors 19(2), 326 (2019). https://doi.org/10.3390/s19020326

    Article  Google Scholar 

  68. McGhin, T., Choo, K.-K.R., Liu, C.Z., He, D.: Blockchain in healthcare applications: research challenges and opportunities. J. Netw. Comput. Appl. 135, 62–75 (2019). https://doi.org/10.1016/j.jnca.2019.02.027

    Article  Google Scholar 

  69. Wang, S., Qu, X.: Blockchain applications in shipping, transportation, logistics, and supply chain. Smart Innov. Syst. Technol. 225–231,(2019). https://doi.org/10.1007/978-981-13-8683-1_23

  70. Astarita, V., Giofrè, V.P., Mirabelli, G., Solina, V.: A review of blockchain-based systems in transportation. Information 11(1), 21 (2019). https://doi.org/10.3390/info11010021

    Article  Google Scholar 

  71. Lao, L., Li, Z., Hou, S., Xiao, B., Guo, S., Yang, Y.: A survey of IoT applications in blockchain systems. ACM Comput. Surv. 53(1), 1–32 (2021). https://doi.org/10.1145/3372136

    Article  Google Scholar 

  72. Zhang, X., Grannis, J., Baggili, I., Beebe, N.L.: Frameup: An incriminatory attack on storj: a peer to peer blockchain enabled distributed storage system. Digit. Investig. 29, 28–42 (2019). https://doi.org/10.1016/j.diin.2019.02.003

    Article  Google Scholar 

  73. Moreno, J., Fernandez, E.B., Fernandez-Medina, E., Serrano, M.A.: Blockbd. In: Proceedings of the 24th European Conference on Pattern Languages of Programs—EuroPLop (2019). 19. https://doi.org/10.1145/3361149.3361166

  74. V. (2018). Marine hull insurance using private blockchain, FILECOIN protocol and smart contracts. Int. J. Adv. Res. Comput. Sci. 9(3), 94–99. https://doi.org/10.26483/ijarcs.v9i3.5759

  75. Koivunen-Niemi, L.: Learn to create a high-low chart using python with data from Coindesk (2020). https://doi.org/10.4135/9781529777697

  76. Eslami Jeyd, M., Hashemi, S.M.: Provide a framework for selecting services based on cloud computing technology in e-capital market. In: 8th International Conference on e-Commerce in Developing Countries: With Focus on e-Trust (2014). https://doi.org/10.1109/ecdc.2014.6836752

  77. Sahmim, S., Gharsellaoui, H.: Privacy and security in internet-based computing: cloud computing, internet of things, cloud of things: a review. Proc. Comput. Sci. 112, 1516–1522 (2017). https://doi.org/10.1016/j.procs.2017.08.050

    Article  Google Scholar 

  78. Haque, A.K., Bhushan, B., Dhiman, G.: Conceptualizing smart city applications: requirements, architecture, security issues, and emerging trends. Expert. Syst. (2021). https://doi.org/10.1111/exsy.12753

    Article  Google Scholar 

  79. Begam S,S., Vimala, J., Selvachandran, G., Ngan, T.T., Sharma, R.: Similarity measure of lattice ordered multi-fuzzy soft sets based on set theoretic approach and its application in decision making. Mathematics 8, 1255 (2020)

    Google Scholar 

  80. Thanh, V., Rohit, S., Raghvendra, K., Hoang, S.L., Thai, P.B., Dieu, T.B., Ishaani, P., Manash, S., Tuong, L.: Crime rate detection using social media of different crime locations and twitter part-of-speech tagger with brown clustering 4287–4299.

    Google Scholar 

  81. Nguyen, P.T., Ha, D.H., Avand, M., Jaafari, A., Nguyen, H.D., Al-Ansari, N., Van Phong, T., Sharma, R., Kumar, R., Le, H.V., Ho, L.S., Prakash, I., Pham, B.T.: Soft computing ensemble models based on logistic regression for groundwater potential mapping. Appl. Sci. 10, 2469 (2020)

    Article  Google Scholar 

  82. Jha, S., et al.: Deep learning approach for software maintainability metrics prediction. IEEE Access 7, 61840–61855 (2019)

    Article  Google Scholar 

  83. Sharma, R., Kumar, R., Sharma, D.K., Son, L.H., Priyadarshini, I., Pham, B.T., Bui, D.T., Rai, S.: Inferring air pollution from air quality index by different geographical areas: case study in India. Air Qual. Atmos. Health 12, 1347–1357 (2019)

    Google Scholar 

  84. Sharma, R., Kumar, R., Singh, P.K., Raboaca, M.S., Felseghi, R.-A.: A systematic study on the analysis of the emission of CO, CO2 and HC for four-wheelers and its impact on the sustainable ecosystem. Sustainability 12, 6707 (2020)

    Article  Google Scholar 

  85. Dansana, D., Kumar, R., Das Adhikari, J., Mohapatra, M., Sharma, R., Priyadarshini, I., Le, D.-N.: Global forecasting confirmed and fatal cases of COVID-19 outbreak using autoregressive integrated moving average model. Front. Public Health 8,(2020). https://doi.org/10.3389/fpubh.2020.580327

  86. Malik, P.K., Sharma, R., Singh, R., Gehlot, A., Satapathy, S.C., Alnumay, W.S., Pelusi, D., Ghosh, U., Nayak, J.: Industrial internet of things and its applications in industry 4.0: state of the art. Comput. Commun. 166, 125–139 pp (2021). ISSN 0140-3664. https://doi.org/10.1016/j.comcom.2020.11.016

  87. Sharma, R., Kumar, R., Satapathy, S.C., Al-Ansari, N., Singh, K.K., Mahapatra, R.P., Agarwal, A.K., Le, H.V., Pham, B.T.: Analysis of water pollution using different physicochemical parameters: a study of Yamuna river. Front. Environ. Sci. 8,(2020). https://doi.org/10.3389/fenvs.2020.581591

  88. Dansana, D., Kumar, R., Parida, A., Sharma, R., Adhikari, J.D., et al.: Using susceptible-exposed-infectious-recovered model to forecast coronavirus outbreak. Comput. Mater. Continua 67(2), 1595–1612 (2021)

    Article  Google Scholar 

  89. Vo, M.T., Vo, A.H., Nguyen, T., Sharma, R., Le, T.: Dealing with the class imbalance problem in the detection of fake job descriptions. Comput. Mater. Continua 68(1), 521–535 (2021)

    Article  Google Scholar 

  90. Sachan, S., Sharma, R., Sehgal, A.: Energy efficient scheme for better connectivity in sustainable mobile wireless sensor networks, Sustain. Comput. : Informat. Syst. 30, 100504 (2021)

    Google Scholar 

  91. Ghanem, S., Kanungo, P., Panda, G., et al.: Lane detection under artificial colored light in tunnels and on highways: an IoT-based framework for smart city infrastructure. Complex Intell. Syst. (2021). https://doi.org/10.1007/s40747-021-00381-2

    Article  Google Scholar 

  92. Sachan, S., Sharma, R., Sehgal, A.: SINR based energy optimization schemes for 5G vehicular sensor networks. Wirel. Pers. Commun. (2021). https://doi.org/10.1007/s11277-021-08561-6

    Article  Google Scholar 

  93. Li, H., Han, D.: EduRSS: a blockchain-based educational records secure storage and sharing scheme. IEEE Access 7, 179273–179289 (2019). https://doi.org/10.1109/access.2019.2956157

    Article  Google Scholar 

  94. Chowdhury, M.J., Ferdous, M.D.S., Biswas, K., Chowdhury, N., Kayes, A.S., Alazab, M., Watters, P.: A comparative analysis of distributed ledger technology platforms. IEEE Access 7, 167930–167943 (2019). https://doi.org/10.1109/access.2019.2953729

    Article  Google Scholar 

  95. Salah, K., Rehman, M.H., Nizamuddin, N., Al-Fuqaha, A.: Blockchain for AI: review and open research challenges. IEEE Access 7, 10127–10149 (2019). https://doi.org/10.1109/access.2018.2890507

    Article  Google Scholar 

  96. Hirtan, L.-A., Dobre, C.: Blockchain privacy-preservation in intelligent transportation systems. In: 2018 IEEE International Conference on Computational Science and Engineering (CSE) (2018). https://doi.org/10.1109/cse.2018.00032

  97. Sharma, P.K., Park, J.H.: Blockchain based hybrid network architecture for the smart city. Futur. Gener. Comput. Syst. 86, 650–655 (2018). https://doi.org/10.1016/j.future.2018.04.060

    Article  Google Scholar 

  98. Ali, D.: Mining the social web: Data mining facebook, Twitter, linkedin, google+, github, and more, by Matthew A. Russell. J. Inf. Priv. Secur. 11(2), 137–138 (2015). https://doi.org/10.1080/15536548.2015.1046287

  99. Duncan, M.L.: Pew research center. Encycloped. Family Stud. 1–2,(2016). https://doi.org/10.1002/9781119085621.wbefs533

  100. Zyskind, G., Nathan, O., Pentland, A.S.: Decentralizing privacy: Using blockchain to protect personal data. In: 2015 IEEE Security and Privacy Workshops (2015). https://doi.org/10.1109/spw.2015.27

  101. McConaghy, M., McMullen, G., Parry, G., McConaghy, T., Holtzman, D.: Visibility and digital art: blockchain as an ownership layer on the internet. Strateg. Chang. 26(5), 461–470 (2017). https://doi.org/10.1002/jsc.2146

    Article  Google Scholar 

  102. Rosenzweig, R.: The road to Xanadu: public and private pathways on the history web. J. Am. Hist. 88(2), 548 (2001). https://doi.org/10.2307/2675105

    Article  Google Scholar 

  103. Privacy in the internet of things world: A Commercial Law of Privacy and Security for the Internet of Things, pp. 25–58 (2021). https://doi.org/10.1017/9781108699235.002

  104. C-IOT cloud-based services and C-IOT user device diversity: Collaborative Internet of Things (C-IOT), pp. 225–238 (2015). https://doi.org/10.1002/9781118913734.ch5

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Kummar, S., Bhushan, B., Bhatia, S. (2022). Blockchain Based Big Data Solutions for Internet of Things (IoT) and Smart Cities. In: Sharma, R., Sharma, D. (eds) New Trends and Applications in Internet of Things (IoT) and Big Data Analytics. Intelligent Systems Reference Library, vol 221. Springer, Cham. https://doi.org/10.1007/978-3-030-99329-0_15

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