Abstract
Over the years, research carried on data encryption in fog computing emphasized confidentiality, authentication, and access control. However, some limitations were encountered and it could not address the issues of inherent cloud computing security challenges such as Man-in-The-Middle and ciphertext attacks. This work incidentally developed an enhanced model that tackled the security challenges found in fog computing using hashing technique by using operational modeling to develop a hybrid cryptography scheme comprising of Advanced Encryption Standard 256 (AES 256), Elliptic Curve Diffie–Helman (ECDH), and Secure Hashing Algorithm 256 (SHA-256). Upon simulation, data obtained was used to analyze the performance and the results gotten showed that the proposed system performed fairly well in terms of execution time and throughput for decryption with a slight compromise in the execution time and throughput for encryption. The essence of this work has proven that it offers a two-way role that guarantees that the data transferred is secured and also validates its integrity. More so, it will provide the basic groundwork for creating a faultless and fitted data encryption mechanism in fog computing.
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
Yousefpour A, Fung C, Nguyen T, Kadiyala K, Jalali F, Niakanlahiji A, Kong J, Jue JP (2019) All one needs to know about fog computing and related edge computing paradigms. J Syst Architect 98:289–330
OpenFog Reference Architecture for Fog Computing, https://www.iiconsortium.org/pdf/OpenFog_Reference_Architecture_2_09_17.pdf. Last accessed 10 Dec 2021
What is fog computing? Why fog computing trending now? https://medium.com/yeello-digital-marketing-platform/what-is-fog-computing-why-fog-computing-trending-now-7a6bdfd73ef. Last accessed 12 Mar 2022
Fog computing and the internet of things: Extend the cloud to where the things are. White Paper. 2016. https://www.cisco.com/c/dam/en_us/solutions/trends/iot/docs/computing-overview.pdf. Last accessed 11 Mar 2022
Usman MJ, Ismail AS, Chizari H, Gital AY, Chiroma H, Abdullahi M, Aliyu A (2019) Integrated resource allocation model for cloud and fog computing: toward energy-efficient Infrastructure as a Service (IaaS). In: Advances on computational intelligence in energy. Springer Cham, Switzerland, pp 125–145
Stojmenovic I, Wen S (2014) The fog computing paradigm: Scenarios and security issues. In: 2014 Federated conference on computer science and information systems. IEEE, Poland, pp 1–8
Khan AN, Kiah MM, Khan SU, Madani SA (2013) Towards secure mobile cloud computing: a survey. Futur Gener Comput Syst 29(5):1278–1299
Akomolafe OP, Abodunrin MO (2017) A hybrid cryptographic model for data storage in mobile cloud computing. Int J Comput Netw Inf Secur 9(6):53–60
Ashi Z, Al-Fawa’reh M, Al-Fayoumi M (2020) Fog computing: security challenges and countermeasures. Int J Comput Appl 175(15):30–36
Ni J, Zhang K, Lin X, Shen X (2017) Securing fog computing for internet of things applications: Challenges and solutions. IEEE Commun Surv Tutor 20(1):601–628
Mukherjee M, Matam R, Shu L, Maglaras L, Ferrag MA, Choudhury N, Kumar V (2017) Security and privacy in fog computing: challenges. IEEE Access 5:19293–19304
Alzoubi YI, Osmanaj VH, Jaradat A, Al-Ahmad A (2020) Fog computing security and privacy for the internet of thing applications: State-of-the-art. Secur Privacy 4(2):e145
Vishwanath A, Peruri R, He J (2016) Security in fog computing through encryption. Int J Inf Technol Comput Sci 8(5):28–36
Sowjanya V (2017) Security framework for sharing data in fog computing. Int J Adv Res Comput Commun Eng 6(6):422–427
Saif M, Shafique A, Mahfooz S (2019) Providing a security layer for Man-in-the-Middle attack in fog computing. Int J Comput Sci Inf Secur 17(6):19–25
Johney RK, Shelry E, Babu KR (2019) Enhanced security through cloud-fog integration. In: 2019 international conference on communication and electronics systems (ICCES). IEEE, India, pp 1530–1535
Husein T, Khalique A, Alam MA, Alankar B (2020) A dynamic scalable security model for data at rest in fog computing environment. Int J Innovat Technol Expl Eng 9(11):413–418
Kumar H, Shinde S, Talele P (2017) Secure fog computing system using emoticon technique. Int J Recent Innovat Trends Comput Commun 5(7):808–811
Khashan OA (2020) Hybrid lightweight proxy re-encryption scheme for secure fog-to-things environment. IEEE Access 8:66878–66887
Lujala P, Ketil Rod J, Thieme N (2007) Fighting over oil: Introducing a new dataset. Confl Manag Peace Sci 24(3):239–256
Peace Research Institute Oslo (PRIO) Petroleum Dataset, https://www.prio.org/Data/Geographical-and-Resource-Datasets/Petroleum-Dataset/. Last accessed 26 Feb 2022
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ejim, S., Gital, A.Y., Chiroma, H., Lawal, M.A., Abubakar, M.Y., Kubi, G.M. (2023). Data Encryption in Fog Computing Using Hybrid Cryptography with Integrity Check. In: Thakur, M., Agnihotri, S., Rajpurohit, B.S., Pant, M., Deep, K., Nagar, A.K. (eds) Soft Computing for Problem Solving. Lecture Notes in Networks and Systems, vol 547. Springer, Singapore. https://doi.org/10.1007/978-981-19-6525-8_48
Download citation
DOI: https://doi.org/10.1007/978-981-19-6525-8_48
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-6524-1
Online ISBN: 978-981-19-6525-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)