i-manager Publications

Edge, Fog, and Cloud Computing in IoT-Significance and Security Concerns

Shouket Ahmad Kouchay*

Islamic University of Madinah, Munawwarah, Saudi Arabia.

Periodicity:January - June'2023
DOI : https://doi.org/10.26634/jcc.10.1.19210

Abstract

Technologies such as cloud, fog, and edge computing offer exceptional solutions for many technical problems in the Internet of Things (IoT). Cloud computing offers enormous flexibility in terms of resource availability and demand. In this paper, the role of cloud, edge, and fog computing in IoT was discussed along with the emergence of numerous IoT smart scenarios which are difficult to implement. This research is important in guiding future network paradigms that require faster processing with less delay and disruption, and the advanced technologies in them can address the challenges of IoT. It also reviews cloud, fog, and edge computing and their relevance to the IoT.

Keywords

IoT, Cloud Layers, Edge and Fog Computing, Security Deployment Models.

How to Cite this Article?

Kouchay, S. A. (2023). Edge, Fog, and Cloud Computing in IoT-Significance and Security Concerns. i-manager's Journal on Cloud Computing, 10(1), 17-29. https://doi.org/10.26634/jcc.10.1.19210

References

[1]. Abdel-Basset, M., Moustafa, N., Hawash, H., Ding, W., Abdel-Basset, M., Moustafa, N., ... & Ding, W. (2022). Internet of things, preliminaries and foundations. Deep Learning Techniques for Iot Security and Privacy (pp. 37-65).

[2]. Abdulsalam, Y. S., & Hedabou, M. (2022). Security and privacy in cloud computing: technical review. Future Internet, 14(1), 11.

[3]. Ahmad, S. (2016). Data Protection in Cloud Computing- vulnerabilities, challenges and Solution. International Journal of Computer Trends and Technology, 34(4), 179-185.

[4]. Ahmad, W., Rasool, A., Javed, A. R., Baker, T., & Jalil, Z. (2022). Cyber security in iot-based cloud computing: A comprehensive survey. Electronics, 11(1), 16.

[5]. Ai, Y., Peng, M., & Zhang, K. (2017). Edge cloud computing technologies for internet of things: A primer. Digital Communications and Networks, 4(2), 77-86.

[6]. Alam, T., Tajammul, M., & Gupta, R. (2022). Towards the sustainable development of smart cities through cloud computing. AI and IoT for Smart City Applications, 199-222.

[7]. Aldahwan, N. S., & Ramzan, M. S. (2022). Descriptive literature review and classification of community cloud computing research. Scientific Programming, 1-12.

[8]. Ali, O., Ishak, M. K., Bhatti, M. K. L., Khan, I., & Kim, K. I. (2022). A Comprehensive Review of Internet of Things: Technology Stack, Middlewares, and Fog/Edge Computing Interface. Sensors, 22(3), 995.

[9]. Alreshidi, E. J. (2022). Introducing fog computing (FC) technology to internet of things (IoT) cloud-based antitheft vehicles solutions. International Journal of System Dynamics Applications (IJSDA), 11(3), 1-21.

[10]. Atlam, H. F., Alenezi, A., Alharthi, A., Walters, R. J., & Wills, G. B. (2017, June). Integration of cloud computing with internet of things: challenges and open issues. In 2017 IEEE International Conference on Internet of Things (Ithings) and IEEE Green Computing and Communications (Greencom) and IEEE Cyber, Physical and Social Computing (Cpscom) and IEEE Smart Data (Smartdata) (pp. 670-675). IEEE.

[11]. Atlam, H. F., Walters, R. J., & Wills, G. B. (2018). Fog computing and the internet of things: A review. Big Data and Cognitive Computing, 2(2), 10.

[12]. Avasalcai, C., Murturi, I., & Dustdar, S. (2020). Edge and fog: A survey, use cases, and future challenges. Fog Computing: Theory and Practice, 43-65.

[13]. Bellavista, P., Berrocal, J., Corradi, A., Das, S. K., Foschini, L., & Zanni, A. (2019). A survey on fog computing for the Internet of Things. Pervasive and Mobile Computing, 52, 71-99.

[14]. Bhat, S. A., Sofi, I. B., & Chi, C. Y. (2020). Edge computing and its convergence with blockchain in 5G and beyond: security, challenges, and opportunities. IEEE Access, 8, 205340-205373.

[15]. Chiang, M., & Zhang, T. (2016). Fog and IoT: An overview of research opportunities. IEEE Internet of Things Journal, 3(6), 854-864.

[16]. Cybersecurity. (2021). 2021 Cloud Security Report.

[17]. Dastjerdi, A. V., Gupta, H., Calheiros, R. N., Ghosh, S. K., & Buyya, R. (2016). Fog computing: Principles, architectures, and applications. In Internet of Things (pp. 61-75). Morgan Kaufmann.

[18]. Du, M., Wang, K., Chen, Y., Wang, X., & Sun, Y. (2018). Big data privacy preserving in multi-access edge computing for heterogeneous Internet of Things. IEEE Communications Magazine, 56(8), 62-67.

[19]. Garg, A., & Rathi, R. (2019). A survey on cloud computing risks and remedies. International Journal of Computer Applications, 178(29), 35-37.

[20]. Goyal, S., & Mathew, R. (2020). Security issues in cloud computing. In Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI-2019) (pp. 363-373). Springer International Publishing.

[21]. Hassan, W., Chou, T. S., Li, X., Appiah-Kubi, P., & Tamer, O. (2019). Latest trends, challenges and solutions in security in the era of cloud computing and software defined networks. International Journal of Informatics and Communication Technology, 3(3), 162-183.

[22]. Hou, Y., Garg, S., Hui, L., Jayakody, D. N. K., Jin, R., & Hossain, M. S. (2020). A data security enhanced access control mechanism in mobile edge computing. IEEE Access, 8, 136119-136130.

[23]. Jain, S., Gupta, S., Sreelakshmi, K. K., & Rodrigues, J. J. (2022). Fog computing in enabling 5G-driven emerging technologies for development of sustainable smart city infrastructures. Cluster Computing, 25, 1111–1154.

[24]. Jangjou, M., & Sohrabi, M. K. (2022). A comprehensive survey on security challenges in different network layers in cloud computing. Archives of Computational Methods in Engineering, 29(6), 3587-3608.

[25]. Kalyani, Y., & Collier, R. (2021). A systematic survey on the role of cloud, fog, and edge computing combination in smart agriculture. Sensors, 21(17), 5922.

[26]. Kaur, J. (n.d.). What's the Difference Between Cloud, Edge, and Fog Computing?

[27]. Khan, A. N., Ali, M., Khan, A. U. R., Khan, F. G., Khan, I. A., Jadoon, W., ... & Chronopoulos, A. T. (2017). A comparative study and workload distribution model for re-encryption schemes in a mobile cloud computing environment. International Journal of Communication Systems, 30(16), e3308.

[28]. Khan, H. U., Ali, F., Alshehri, Y., & Nazir, S. (2022). Towards enhancing the capability of IoT applications by utilizing cloud computing concept. Wireless Communications and Mobile Computing, 2022.

[29]. Kong, L., Tan, J., Huang, J., Chen, G., Wang, S., Jin, X., ... & Das, S. K. (2022). Edge-computing-driven internet of things: a survey. ACM Computing Surveys, 55(8), 1-41.

[30]. Kouchay, S. A. (2017). Robust cryptographic technique for improving data security in cloud computing. International Journal of Innovative Research in Science, Engineering and Technology, 6(5), 10048-10053.

[31]. Kouchay, S. A. (2019). Enhancing cloud data security using hybrid of updated RSA and twofish algorithms. i-manager's Journal on Information Technology, 8(4), 1-7.

[32]. Kouchay, S. A. (2020). Cloud security vulnerabilities and solution model. Review of Computer Engineering Research, 7(1), 12-19.

[33]. Kubiak, K., Dec, G., & Stadnicka, D. (2022). Possible applications of edge computing in the manufacturing industry—Systematic literature review. Sensors, 22(7), 2445.

[34]. Lei, H., Qiu, C., Yao, H., & Guo, S. (2019). When blockchain-enabled internet of things meets cloud computing. Computer, 52(12), 16-17.

[35]. Linthicum, D. S. (2017). Connecting fog and cloud computing. IEEE Cloud Computing, 4(2), 18-20.

[36]. Masri, W., Al Ridhawi, I., Mostafa, N., & Pourghomi, P. (2017, July). Minimizing delay in IoT systems through collaborative fog-to-fog (F2F) communication. In 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN) (pp. 1005-1010). IEEE.

[37]. Morphy, R. (2021). Fundamental Security for IoT and IoMT Devices within Health Care in the Absence of Industry Standards (Doctoral dissertation, Capella University).

[38]. Ometov, A., Molua, O. L., Komarov, M., & Nurmi, J. (2022). A survey of security in cloud, edge, and fog computing. Sensors, 22(3), 927.

[39]. Peter, N. (2015). Fog computing and its real time applications. International Journal of Emerging Technology and Advanced Engineering, 5(6), 266-269.

[40]. Red Hat. (2022). What is IoT Edge Computing?

[41]. Soni, D., Sharma, V., & Srivastava, D. (2019, April). Optimization of security issues in adoption of cloud ecosystem. In 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU) (pp. 1-5). IEEE.

[42]. Stojmenovic, I., & Wen, S. (2014, September). The fog computing paradigm: Scenarios and security issues. In 2014 Federated Conference on Computer Science and Information Systems (pp. 1-8). IEEE.

[43]. Suárez-Albela, M., Fernández-Caramés, T. M., Fraga-Lamas, P., & Castedo, L. (2017). A practical evaluation of a high-security energy-efficient gateway for IoT fog computing applications. Sensors, 17(9), 1978.

[44]. Sulieman, N. A., Ricciardi Celsi, L., Li, W., Zomaya, A., & Villari, M. (2022). Edge-oriented computing: A survey on research and use cases. Energies, 15(2), 452.

[45]. Vermesan, O., Bahr, R., Falcitelli, M., Brevi, D., Bosi, I., Dekusar, A., ... & Schreiner, F. (2020). IoT technologies for connected and automated driving applications. In O. Vermesan, & J. Bacquet (Eds.), Internet of Things–The Call of the Edge: Everything Intelligent Everywhere (pp. 255-306). River Publishers.

[46]. Vumo, A. P., Spillner, J., & Köpsell, S. (2019, July). A data security framework for cloud computing adoption: Mozambican government cloud computing. In European Conference on Cyber Warfare and Security (pp. 720). Academic Conferences International Limited.

[47]. Wang, L., & Wang, Y. (2022). Supply chain financial service management system based on block chain IoT data sharing and edge computing. Alexandria Engineering Journal, 61(1), 147-158.

[48]. Wang, X., Han, Y., Leung, V. C., Niyato, D., Yan, X., & Chen, X. (2020). Convergence of edge computing and deep learning: A comprehensive survey. IEEE Communications Surveys & Tutorials, 22(2), 869-904.

[49]. Wani, A. R., Rana, Q. P., & Pandey, N. (2019). Analysis and countermeasures for security and privacy issues in cloud computing. System Performance and Management Analytics, 47-54.

[50]. Wen, Z., Yang, R., Garraghan, P., Lin, T., Xu, J., & Rovatsos, M. (2017). Fog orchestration for internet of things services. IEEE Internet Computing, 21(2), 16-24.

[51]. Xu, S., Qian, Y., & Hu, R. Q. (2020). Edge intelligence assisted gateway defense in cyber security. IEEE Network, 34(4), 14-19.

[52]. Yousefpour, A., Fung, C., Nguyen, T., Kadiyala, K., Jalali, F., Niakanlahiji, A., ... & Jue, J. P. (2019). All one needs to know about fog computing and related edge computing paradigms: A complete survey. Journal of Systems Architecture, 98, 289-330.

[53]. Zeyu, H., Geming, X., Zhaohang, W., & Sen, Y. (2020, June). Survey on edge computing security. In 2020 International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE) (pp. 96-105). IEEE.

[54]. Zissis, D., & Lekkas, D. (2012). Addressing cloud computing security issues. Future Generation Computer Systems, 28(3), 583-592.

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25

Edge, Fog, and Cloud Computing in IoT-Significance and Security Concerns

Abstract

Keywords

How to Cite this Article?

References

If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Options for accessing this content: