Lightweight Blockchain Framework for Efficient Smart Home Device Communication
Keywords:
Internet of things, smart home security, blockchain, Ethereum, data integrityAbstract
The swift expansion of the Internet of Things (IoT) has expedited the implementation of smart sensors, generating substantial volumes of time-series data that require safe, efficient, and dependable management. Current centralized systems have constraints in maintaining integrity, protecting communications, and deriving economic value from this data. A blockchain-based smart house gateway network is suggested to address security concerns in smart home environments. The framework has three layers: device, gateway, and cloud. Blockchain technology is integrated at the gateway layer to provide decentralized storage and safe data interchange, eliminating single points of failure inherent in centralized systems. This integration ensures authentication, high availability, and secure communication across devices and stakeholders. The system utilizes Ethereum blockchain technology and is assessed based on important parameters such as response speed and detection accuracy. Experimental study demonstrates that the framework much surpasses traditional methods, improving resilience and reliability in smart home IoT ecosystems. The suggested system offers a scalable approach for safe data management and dependable value exchange in dispersed settings.
References
[1]. R. Sun, J. Xi, C. Yin, J. Wang, G.J. Kim, “Location privacy protection research based on querying anonymous region construction for smart campus,” Mobile Information Systems, vol. 2018, no. 1, pp. 1-11, 2018.
[2]. R.J. Robles, T. H. Kim, D. Cook, S. Das, “A review on security in smart home development,” International Journal of Advanced Science and Technology, vol.15, pp. 1-10, 2010.
[3]. J.H. Park, M.M.Salim, J.H. Jo, J.C.S.Sicato, S. Rathore, J.H. Park, “CIoT-Net: a scalable cognitive IoT based smart city network architecture,” Human-centric Computing and Information Sciences, vol. 9, no. 1, pp. 1–29, 2019.
[4]. J. Wang, Y. Gao, W. Liu, A.K. Sangaiah, H.J. Kim “Energy efficient routing algorithm with mobile sink support for wireless sensor networks,” Sensors, vol. 19, no. 7, pp. 1468–1494, 2019.
[5]. Y. Mittal, P. Toshniwal, S. Sharma, D. Singhal, R. Gupta, V.K. Mitta, “A voice-controlled multi-functional smart home automation system,” In: 2015 Annual IEEE India conference, pp.1-6, 2015.
[6]. M. Schiefer “Smart home definition and security threats,” Ninth International Conference on IT security incident management & IT forensics, pp. 114-118, 2015.
[7]. B. Xiong, K. Yang, J. Zhao, K. Li, “Robust dynamic network traffic partitioning against malicious attacks,” Journal of Network and Computer Applications, vol. 87, pp. 20–31, 2017.
[8]. P. Pongle, and G. Chavan, “A survey: attacks on RPL and 6LoWPAN in IoT,” International Conference on Pervasive Computing, pp. 1-6, 2015.
[9]. K. Gu, L. Yang, and B. Yin, “Location data record privacy protection based on differential privacy mechanism,” Information Technology and Control, vol. 47, no. 4, pp. 639–654, 2018
[10]. P.K. Sharma, S. Rathore, J.H. Park, “DistArch-SCNet: blockchain-based distributed architecture with li-fi communication for a scalable smart city network,” IEEE Consumer Electronics Magazine, vol. 7, no. 4, pp. 55–64, 2018.
[11]. P.R Wire (2016) Gartner: blockchain and connected home are almost at the peak of the hype cycle. https ://prwir e.com.au/pr/62010 /gartn er-block chain -andco nnect ed-home-are-almos t-at-the-peak-of-the-hype-cycle. Accessed 28 Dec 2019.
[12]. P.K. Sharma, S.Y. Moon, J.H. Park, “Block-VN: a distributed blockchain-based vehicular network architecture in smart city,” Journal of Information Processing Systems, vol. 13, no. 1, pp. 184–195, 2017.
[13]. I. Sanchez, R. Satta, I.N. Fovino, G. Baldini, G. Steri, D. Shaw, A. Ciardulli, “Privacy leakages in smart home wireless technologies. In: 2014 international carnahan conference on security technology, 2014.
[14]. T. Ahram, A. Sargolzaei, S. Sargolzaei, J. Daniels, B. Amaba, “Blockchain technology innovations,” IEEE technology &architecture management conference (TEMSCON), 2017
[15]. S. Rathore, Y. Pan, J.H. Park, “Block DeepNet: a Blockchain-based secure deep learning for IoT network,” Sustainability, vol. 11, no. 14, pp. 3960–3974, 2019.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 T Buvaneswari, Mageshkumar Naarayanasamy Varadarajan, Mythily M, Hemantha Kumar B N, A Bharath, Sangeetha A, P Selvarani, J Bennilo Fernandes
This work is licensed under a Creative Commons Attribution 4.0 International License.
