Abstract
With the improvement of technology and use of the emerging technologies, the evolution of Smart Cities has become smoother. In a smart city environment the automation strategy is based on the deployed IoT devices that stream big data for the betterment of the services. But while doing this, the security of the data is becoming a major concern. In order to monitor daily to daily activities of the users, they are compromising their privacy rights. The Blockchain Technology has emerged as the most secured distributed Peer to Peer Network. In this chapter, we present an approach to manage our online identities using highly secured blockchain technology. The chapter deals with privacy and soverignity of the user identities along with ensuring their security so that identities can’t be misused. On the other hand the approach ensures the transparency and control of the user’s identity. In the result analysis the chapter presents the output of the functions depicting the flow of the application. We discuss the architecture integrating blockchain and accordingly we also discuss the related challenges and future work.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Eremia, M., Toma, L., Sanduleac, M.: The smart city concept in the 21st century. In: International Conference on Interdisciplinarity in Engineering. Procedia Engineering, pp. 12–19. Elsevier (2017)
Zhu, X., Badr, Y.: Identity management systems for the Internet of Things: a survey towards Blockchain solutions. Sensors (MDPI) 5, 1–18 (2018)
Blanchfield, L.: The United Nations convention on the rights of the child: background and policy issues. In: Congressional Research Service, pp. 1–18 (2010)
Kumar, S., Ansari, A.A., Ghosh, B., Hernadez, W.R., Pradhan, C.: Design and implementation of data background search model to support child protection practices in India. In: International Conference on Data Engineering and Communication Technology, pp. 377–387. Springer (2017)
Wilson, S., Moustafa, N., Sitnikova, E.: A digital identity stack to improve privacy in the IoT. In: World Forum on Internet of Things. IEEE (2018)
Dey, N., Fong, S., Song, W., Cho, K.: Forecasting energy consumption from smart home sensor network by deep learning. In: International Conference on Smart Trends for Information Technology and Computer Communications, pp. 255–265. Springer (2018)
Fong, S., Li, J., Song, W., Tian, Y., Wong, R.K., Dey, N.: Predicting unusual energy consumption events from smart home sensor network by data stream mining with misclassified recall. J. Ambient Intell. Hum. Comput. Springer 9, 1197–1221 (2018) (Springer)
Chow, S.S.M., He, Y.J., Hui, L.C.K., Yiu, S.M.: SPICE—simple privacy-preserving identity-management for cloud environment. In: International Conference on Applied Cryptography and Network Security, pp. 526–543. Springer (2012)
Mora, O.B., Rivera, R., Larios, V.M., Beltran-Ramirez, R., Maciel, R., Ochoa, A.: A use case in cybersecurity based in Blockchain to deal with the security and privacy of citizens and smart cities cyber infrastructures. In: International Conference on Smart Cities, pp. 1–4. IEEE (2018)
Dey, N., Tamane, S.: Big Data Analytics for Smart and Connected Cities. IGI Global (2018). ISBN 9781522562078
Poland, M.P., Nugent, C.D., Wang, H., Chen, L.: Smart home research: projects and issues. Int. J. Ambient Comput. Intell. IGI Glob. 1(4), 1–14 (2009)
Solanki, V.K., Katiyar, S., Semwal, V.B., Dewan, P., Venkatasen, M., Dey, N.: Advanced automated module for smart and secure city. Proc. Comput. Sci. Elsevier 78, 367–374 (2016) (Elsevier)
Birrell, E., Schneider, F.B.: Federated Identity management systems: a privacy-based characterization. IEEE Comput. Reliab. Soc., 36–48 (2013)
Peng, C., Akca, S., Rajan, A.: SIF: A Framework for Solidity Contract Instrumentation and Analysis, pp. 1–8 (2019)
Haddouti, S.E., El Kettani, E.-C.: Analysis of identity management systems using Blockchain technology. In: International Conference on Advanced Communication Technologies and Networking, pp. 1–7 (2019)
Camp, L.J.: Digital identity. IEEE Technol. Soc. Mag., 34–41 (2004)
Bernabe, J.B., Hernandez-Ramos, J.L., Gomez, A.F.S.: Holistic Privacy-Preserving Identity Management System for the Internet of Things. Mobile Information Systems, Hindawi, pp. 1–20 (2017)
Dunphy, P., Petitcolas, F.A.P.: A First Look at Identity Management Schemes on the Blockchain. IEEE Secur. Priv. 16(4), 20–29 (2018)
Roos, J.: Identity Management on the Blockchain. Netw. Arch. Serv., 105–112 (2018).
Kumar, R., Tripathi, R.: Implementation of distributed file storage and access framework using IPFS and Blockchain. In: International Conference on Image Information Processing, pp. 246–251 (2019)
Gupta, B.C.: Analysis of Ethereum Smart Contracts—A Security Perspective. Indian Institute of Technology Kanpur, pp. 1–59 (2019)
Sarkar, M., Banerjee, S., Badr, Y., Sangaiah, A.K.: Configuring a trusted cloud service model for smart city exploration using hybrid intelligence. Int. J. Ambient Comput. Intell. IGI Global 8(3), 1–21 (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Sinha, S., Pradhan, C. (2021). Blockchain Technology Enabled Digital Identity Management in Smart Cities. In: Tamane, S.C., Dey, N., Hassanien, AE. (eds) Security and Privacy Applications for Smart City Development. Studies in Systems, Decision and Control, vol 308. Springer, Cham. https://doi.org/10.1007/978-3-030-53149-2_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-53149-2_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-53148-5
Online ISBN: 978-3-030-53149-2
eBook Packages: EngineeringEngineering (R0)