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SECC Framework: Get the Best from Both the Cloud and Edge Computing in Internet of Things

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Abstract

Internet of Things (IoT) is an important component of the 5th generation mobile network, which is being deployed worldwide. To achieve the goal of “connecting everything”, a great amount of devices are connected. New scenarios and applications are developed for IoT, some of which require intensive computations and low response delay. This makes edge computing and cloud computing two main technologies to back the Internet of Things. Edge-cloud computing was proposed to utilize the advantages of both these two computing forms. 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 Orchestration, Data Processing and Storage, Communication Management, Authentication and Authorization, and Situation Awareness. Through a daisy-chain approach, our framework can be secured for heterogeneous security needs of different parts of the system. We also build a prototype of the proposed framework and demonstrate the efficacy and security of the SECC framework through experiments and comprehensive analysis.

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Data Availability

No public database is used in the paper. Experimental results were obtained through simulations.

References

  1. Liu A, Cai R (2011) Architecting cloud computing applications and systems. 2011 Ninth Working IEEE/IFIP Conference on Software Architecture 310–311

  2. Naveen S, Kounte MR (2019) Key technologies and challenges in IoT edge computing. 2019 Third International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) 61–65

  3. Ghosh AM, Grolinger K (2019) Deep learning: edge-cloud data analytics for IoT. 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) 1–7

  4. Xu J, Wang S, Zhou A, Yang F (2020) Edgence: A blockchain-enabled edge-computing platform for intelligent IoT-based dApps. China Commun 17(4):78–87

    Article  Google Scholar 

  5. Miraz MH, Ali M, Excell PS, Picking R (2015) A review on Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano Things (IoNT). 2015 Internet Technologies and Applications (ITA) 219–224

  6. Raj A, Prakash S (2018) Internet of everything: a survey based on architecture, issues and challenges. 2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) 1–6

  7. Evans D (2011) The Internet of Things - How the next evolution of the internet is changing everything. Cisco White Paper 3–4

  8. Shi W, Cao J, Zhang Q, Li Y, Xu L (2016) Edge computing: vision and challenges. IEEE Internet Things J 3(5):637–646

    Article  Google Scholar 

  9. López Peña MA, Muñoz Fernández I (2019) SAT-IoT: An architectural model for a high-performance fog/edge/cloud IoT platform. 2019 IEEE 5th World Forum on Internet of Things (WF-IoT) 633–638

  10. Li Z, Yang Z, Xie S (2019) Computing resource trading for edge-cloud-assisted internet of things. IEEE Trans Industr Inf 15(6):3661–3669

    Article  Google Scholar 

  11. Zhao P, Zhao W, Bao H, Li B (2020) Security energy efficiency maximization for untrusted relay assisted NOMA-MEC network with WPT. IEEE Access 8:147387–147398

    Article  Google Scholar 

  12. Taleb T, Samdanis K, Mada B, Flinck H, Dutta S, Sabella D (2017) On multi-access edge computing: a survey of the emerging 5g network edge cloud architecture and orchestration. IEEE Commun Surv Tutorials 19(3):1657–1681

    Article  Google Scholar 

  13. Kaur A, Kumar R, Saxena S (2020) Osmotic computing and related challenges: a survey. 2020 Sixth Int Conf Parallel, Distributed Grid Comput (PDGC) 378–383

  14. Hu L, Sun G, Ren Y (2020) CoEdge: exploiting the edge-cloud collaboration for faster deep learning. IEEE Access 8:100533–100541

    Article  Google Scholar 

  15. Khayyat M, Elgendy IA, Muthanna A, Alshahrani AS, Alharbi S, Koucheryavy A (2020) Advanced deep learning-based computational offloading for multilevel vehicular edge-cloud computing networks. IEEE Access 8:137052–137062

    Article  Google Scholar 

  16. Xiao Y, Jia Y, Liu C, Cheng X, Yu J, Lv W (2019) Edge computing security: state of the art and challenges. Proc IEEE 107(8):1608–1631

    Article  Google Scholar 

  17. Wu W, Zhang Q, Wang HJ (2019) Edge computing security protection from the perspective of classified protection of cybersecurity. 2019 6th Int Conf Inf Sci Control Eng (ICISCE) 278–281

  18. Medhane DV, Sangaiah AK, Hossain MS, Muhammad G, Wang J (2020) Blockchain-enabled distributed security framework for next-generation iot: an edge cloud and software-defined network-integrated approach. IEEE Internet Things J 7(7):6143–6149

    Article  Google Scholar 

  19. Caprolu M, Di Pietro R, Lombardi F, Raponi S (2019) Edge computing perspectives: architectures, technologies, and open security issues. 2019 IEEE Int Conf Edge Comput (EDGE) 116–123

  20. Endsley MR (1988) “Design and evaluation for situation awareness enhancement,” Proc Human Factors Soc Ann Meet, Sage CA: Los Angeles, CA: SAGE Publications, 32(2): 97101

  21. Głowacka J, Krygier J, Amanowicz M (2015) A trust-based situation awareness system for military applications of the internet of things. 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT) 490–495

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044, China

    Yao Zhao, Jian Li, Zhenjiang Zhang & Bo Shen

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  1. Yao Zhao
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  2. Jian Li
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  3. Zhenjiang Zhang
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  4. Bo Shen
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Correspondence to Jian Li.

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Zhao, Y., Li, J., Zhang, Z. et al. SECC Framework: Get the Best from Both the Cloud and Edge Computing in Internet of Things. Mobile Netw Appl 28, 1031–1042 (2023). https://doi.org/10.1007/s11036-023-02134-6

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