Abstract
With the fast development of Internet of Things, more and more applications are deployed in this “connecting everything” network. Edge computing and cloud computing are two paradigms to implement the Internet of Things. To utilize the advantages of both these two computing forms, edge-cloud computing was proposed. In this paper, we construct a secure edge-cloud computing (SECC) framework. Sensor nodes and applications can interact with the framework through unified interfaces. We implement the edge server as a collection of services, including edge device orchestration, data processing and storage, communication management, authentication and authorization, environment sensing and situation analysis. Through a daisy-chain approach, our framework can be secured for heterogeneous security needs of different parts of the system. We also demonstrate the efficacy of the SECC framework through comprehensive analysis.
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References
Liu, A., Cai, R.: Architecting cloud computing applications and systems. In: 2011 Ninth Working IEEE/IFIP Conference on Software Architecture, Boulder, CO, pp. 310–311 (2011)
Naveen, S., Kounte, M.R.: Key technologies and challenges in IoT edge computing. In: 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India, pp. 61–65 (2019)
Ghosh, A.M., Grolinger, K.: Deep learning: edge-cloud data analytics for IoT. In: 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE), Edmonton, AB, Canada, pp. 1–7 (2019)
Xu, J., Wang, S., Zhou, A., Yang, F.: Edgence: a blockchain-enabled edge-computing platform for intelligent IoT-based dApps. China Commun. 17(4), 78–87 (2020)
Miraz, M.H., Ali, M., Excell, P.S., Picking, R.: A review on Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano Things (IoNT). In: 2015 Internet Technologies and Applications (ITA), Wrexham, pp. 219–224 (2015)
Raj, A., Prakash, S.: Internet of Everything: a survey based on architecture, issues and challenges. In: 2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Gorakhpur, pp. 1–6 (2018)
Evans, D.: The Internet of Things: how the next evolution of the internet is changing everything. In: Cisco White Paper, pp. 3–4 (2011)
Lpez Pea, M.A., Muoz Fernndez, I.: SAT-IoT: an architectural model for a high-performance fog/edge/cloud IoT platform. In: 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), Limerick, Ireland, pp. 633–638 (2019)
Shi, W., Cao, J., Zhang, Q., Li, Y., Xu, L.: Edge computing: vision and challenges. IEEE Internet Things J. 3(5), 637–646 (2016)
Zhao, P., Zhao, W., Bao, H., Li, B.: Security energy efficiency maximization for untrusted relay assisted NOMA-MEC network with WPT. IEEE Access 8, 147387–147398 (2020)
Taleb, T., Samdanis, K., Mada, B., Flinck, H., Dutta, S., Sabella, D.: On multi-access edge computing: a survey of the emerging 5G network edge cloud architecture and orchestration. IEEE Commun. Surv. Tutor. 19(3), 1657–1681 (2017)
Hu, L., Sun, G., Ren, Y.: CoEdge: exploiting the edge-cloud collaboration for faster deep learning. IEEE Access 8, 100533–100541 (2020)
Xiao, Y., Jia, Y., Liu, C., Cheng, X., Yu, J., Lv, W.: Edge computing security: state of the art and challenges. Proc. IEEE 107(8), 1608–1631 (2019)
Wu, W., Zhang, Q., Wang, H.J.: Edge computing security protection from the perspective of classified protection of cybersecurity. In: 2019 6th International Conference on Information Science and Control Engineering (ICISCE), Shanghai, China, pp. 278–281 (2019)
Caprolu, M., Di Pietro, R., Lombardi, F., Raponi, S.: Edge computing perspectives: architectures, technologies, and open security issues. In: 2019 IEEE International Conference on Edge Computing (EDGE), Milan, Italy, pp. 116–123 (2019)
Acknowledgement
This work was in part supported by the National Natural Science Foundation of China under Grant 61701019.
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Zhao, Y., Zhang, Z., Li, J. (2021). A Secure Edge-Cloud Computing Framework for IoT Applications. In: Lin, YB., Deng, DJ. (eds) Smart Grid and Internet of Things. SGIoT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 354. Springer, Cham. https://doi.org/10.1007/978-3-030-69514-9_7
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DOI: https://doi.org/10.1007/978-3-030-69514-9_7
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