Abstract
Background: The pervasive adoption of edge computing is reshaping real-time big data analysis, smart city management, intelligent transportation, and various other domains. Its appeal lies in its distributed nature, decentralization, low latency, mobile support, and spatial awareness. However, this ubiquity exposes data to security threats, jeopardizing privacy and integrity. Consequently, access control assumes paramount importance in securing data sharing within edge computing and blockchain technologies.
Methods: This research addresses this critical issue by conducting a comprehensive study on access control techniques within the context of edge computing and blockchain for secure data sharing. Our methodology commences with an exhaustive review of relevant articles, aiming to identify and expound upon gaps in existing research. Subsequently, we perform a meticulous analysis of access control methods, mechanisms, and performance metrics, seeking to establish a holistic understanding of the landscape.
Results: The culmination of this research effort is a multifaceted contribution. We distill insights from a diverse range of access control schemes, shedding light on their nuances and effectiveness. Our analysis extends to evaluating the performance metrics vital for ensuring robust access control. Through this research, we also pinpoint critical research gaps within traditional access control methods, creating a foundation for innovative approaches to address the evolving challenges within edge computing and blockchain environments.
Conclusion: In conclusion, this research venture paves the way for secure data sharing in edge computing and blockchain by offering a thorough examination of access control. The findings from this study are anticipated to guide future developments in access control techniques and facilitate the evolution of secure, privacy-conscious, and efficient data sharing practices in the dynamic landscape of digital technology.
Keywords: Edge computing, access control, security, privacy, blockchain, wireless communication.
Graphical Abstract
[1]
Y. Gao, Y. Chen, X. Hu, H. Lin, Y. Liu, and L. Nie, "Blockchain based IIoT data sharing framework for SDN-enabled pervasive edge computing", IEEE Trans. Industr. Inform., vol. 17, no. 7, pp. 5041-5049, 2021.
[http://dx.doi.org/10.1109/TII.2020.3012508]
[http://dx.doi.org/10.1109/TII.2020.3012508]
[2]
W.N. Baraka, "Blockchain-based secure storage management with edge computing for IoT", Electronics, vol. 8, no. 8, p. 828, 2019.
[3]
K. Gai, Y. Wu, L. Zhu, L. Xu, and Y. Zhang, "Permissioned blockchain and edge computing empowered privacy-preserving smart grid networks", IEEE Int. Things J., vol. 99, 2019.
[4]
H. Liu, P. Zhang, G. Pu, T. Yang, S. Maharjan, and Y. Zhang, "Blockchain empowered cooperative authentication with data traceability in vehicular edge computing", IEEE Trans. Vehicular Technol., vol. 69, no. 4, pp. 4221-4232, 2020.
[http://dx.doi.org/10.1109/TVT.2020.2969722]
[http://dx.doi.org/10.1109/TVT.2020.2969722]
[5]
W. Yang, Z. Guan, L. Wu, X. Du, and M. Guizani, "Secure data access control with fair accountability in smart grid data sharing: An edge blockchain approach", IEEE Int. Things J., vol. 8, no. 10, p. 3047640, 2021.
[http://dx.doi.org/10.1109/JIOT.2020.3047640]
[http://dx.doi.org/10.1109/JIOT.2020.3047640]
[6]
Y. Hou, S. Garg, L. Hui, K.J. Dushantha Nalin, R. Jin, and M.S. Hossain, "A Data security enhanced access control mechanism in mobile edge computing", IEEE Access, vol. 8, 2020.
[7]
D.C. Nguyen, P.N. Pathirana, M. Ding, and A. Seneviratne, "Blockchain and edge computing for decentralized emrs sharing in federated healthcare", In GLOBECOM 2020 - 2020 IEEE Global Communications Conference, Taipei, Taiwan, 07-11 Dec, 2020.
[http://dx.doi.org/10.1109/GLOBECOM42002.2020.9347951]
[http://dx.doi.org/10.1109/GLOBECOM42002.2020.9347951]
[8]
Md. Abdur Rahman, and M. Shamim Hossain, "Blockchain-based mobile edge computing framework for secure therapy applications", IEEE Access, vol. 6, 2018.
[9]
A.A. Abdellatif, L. Samara, A. Mohamed, A. Erbad, and C.F. Chiasserini, "I-Health: Leveraging edge computing and blockchain for epidemic management", Arxiv, 2020.
[10]
D.C. Nguyen, P.N. Pathirana, M. Dingy, and A. Seneviratne, "A cooperative architecture of data offloading and sharing for smart healthcare with blockchain", In IEEE International Conference on Blockchain and Cryptocurrency (ICBC), Sydney, Australia, 03-06 May, 2021.
[http://dx.doi.org/10.1109/ICBC51069.2021.9461063]
[http://dx.doi.org/10.1109/ICBC51069.2021.9461063]
[11]
D.C. Nguyen, P.N. Pathirana, M. Ding, and A. Seneviratne, "BEdgeHealth: A decentralized architecture for edge-based iomt networks using blockchain", IEEE Int. Things J., vol. 8, no. 14, 2021.
[12]
L. Zhang, and M. Peng, "Secure and efficient data storage and sharing scheme for blockchain-based mobile-edge computing", Trans. Emerg. Telecommun. Technol., vol. 32, no. 5, 2021.
[13]
A. Mohammed, H. Nahom, A. Tewodros, Y. Habtamu, and G. Hayelom, "Deep reinforcement learning for computation offloading and resource allocation in blockchain-based multi-uav-enabled mobile edge computing", In 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 18-20 Dec, 2021.
[14]
J.P˜. Queralta, and T. Westerlund, Blockchain for Mobile Edge Computing: Consensus Mechanisms and Scalability. Multi-Robot Systems, 2020.
[15]
H. Dai, P. Shi, H. Huang, R. Chen, and J. Zhao, "Towards Trustworthy IoT: A blockchain-edge computing hybrid system with proof-of-contribution mechanism", Security Commun. Net., vol. 2021, p. 13, 2021.
[http://dx.doi.org/10.1155/2021/3050953]
[http://dx.doi.org/10.1155/2021/3050953]
[16]
J. Li, J. Wu, L. Chen, J. Li, and S-K. Lam, "Blockchain-based secure key management for mobile edge computing", IEEE Trans. Mobile Comput., 2020.
[17]
M.U. Raja, and N. Javaid, "Enhanced data sharing model by using blockchain and incentive mechanism", RMIT, 2019.
[18]
D.C. Nguyen, M. Ding, Q.V. Pham, P.N. Pathirana, L.B. Le, A. Seneviratne, J. Li, D. Niyato, and H.V. Poor, "Federated learning meets blockchain in edge computing: Opportunities and challenges", IEEE Internet Things J., vol. 8, no. 16, pp. 12806-12825, 2021.
[http://dx.doi.org/10.1109/JIOT.2021.3072611]
[http://dx.doi.org/10.1109/JIOT.2021.3072611]
[19]
L. Nkenyereye, B.A. Tama, M.K. Shahzad, and Y-H. Choi, "Secure and blockchain-based emergency driven message protocol for 5G enabled vehicular edge computing", Sensors, vol. 20, no. 1, p. 154, 2020.
[20]
R. Sharma, and S. Chakraborty, "B2VDM: Blockchain based vehicular data management", In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Bangalore, India, 2018.
[http://dx.doi.org/10.1109/ICACCI.2018.8554369]
[http://dx.doi.org/10.1109/ICACCI.2018.8554369]
[21]
K. Lei, J. Fang, Q. Zhang, J. Lou, M. Du, and J. Huang, "Blockchain-based cache poisoning security protection and privacy-aware access control in NDN vehicular edge computing networks", J. Grid Comput., vol. 18, no. 6, 2020.
[22]
X. Zheng, M. Li, Y. Chen, J. Guo, M. Alam, and W. Hu, "Blockchain-based secure computation offloading in vehicular networks", IEEE Trans. Intell. Transp. Syst., 2020.
[23]
Y. Dai, D. Xu, K. Zhang, S. Maharjan, and Y. Zhang, "Deep reinforcement learning and permissioned blockchain for content caching in vehicular edge computing and networks", IEEE Trans. Vehicular Technol., vol. 69, no. 4, pp. 4312-4324, 2020.
[http://dx.doi.org/10.1109/TVT.2020.2973705]
[http://dx.doi.org/10.1109/TVT.2020.2973705]
[24]
Z. Su, Y. Wang, Q. Xu, and N. Zhang, "LVBS: Lightweight vehicular blockchain for secure data sharing in disaster rescue", IEEE Trans. Depend. Secure Comput., vol. 19, no. 1, pp. 19-32, 2022.
[http://dx.doi.org/10.1109/TDSC.2020.2980255]
[http://dx.doi.org/10.1109/TDSC.2020.2980255]
[25]
T. Hewa, A. Braeken, M. Ylianttila, and M. Liyanage, "Multi-access edge computing and blockchain-based secure telehealth system connected with 5G and IoT", In GLOBECOM 2020 - 2020 IEEE Global Communications Conference, Taipei, Taiwan, 07-11 Dec, 2020.
[26]
A.V. Rivera, A. Refaey, and E. Hossain, "A blockchain framework for secure task sharing in multi-access edge computing", IEEE Net., vol. 35, no. 3, p. 2000497, 2021.
[http://dx.doi.org/10.1109/MNET.011.2000497]
[http://dx.doi.org/10.1109/MNET.011.2000497]
[27]
W. Wang, H. Huang, L. Xue, Q. Li, R. Malekian, and Y. Zhang, "Blockchain-assisted handover authentication for intelligent telehealth in multi-server edge computing environment", J. Syst. Archit., vol. 115, p. 102024, 2021.
[http://dx.doi.org/10.1016/j.sysarc.2021.102024]
[http://dx.doi.org/10.1016/j.sysarc.2021.102024]
[28]
U. Jayasinghe, "TrustChain: A Privacy Preserving Blockchain with Edge Computing", Wirel. Commun. Mobile Comput., vol. 2019, 2019.
[29]
S.H. Sim, and Y.S. Jeong, "Multi-blockchain-based iot data processing techniques to ensure the integrity of IoT data in AIoT edge computing environments", Sensors, vol. 21, no. 10, p. 3515, 2021.
[http://dx.doi.org/10.3390/s21103515] [PMID: 34070069]
[http://dx.doi.org/10.3390/s21103515] [PMID: 34070069]
[30]
B.S. Egala, A.K. Pradhan, V.R. Badarla, and S.P. Mohanty, "Fortified-Chain: A blockchain based framework for security and privacy assured internet of medical things with effective access control", J. Int. Things, 2020.
[31]
L. Wang, and Y. Wang, "Supply chain financial service management system based on block chain IoT data sharing and edge computing", Alex. Eng. J., 2021.
[32]
C. Huang, and Y. Hu, "BEAF: A blockchain and edge assistant framework with data sharing for iot networks", In 2020 IEEE/ACM Symposium on Edge Computing (SEC), San Jose, CA, USA, 2020.
[http://dx.doi.org/10.1109/SEC50012.2020.00054]
[http://dx.doi.org/10.1109/SEC50012.2020.00054]
[33]
S. Saha, D. Chattaraj, B. Bera, and A. Kumar Das, "Consortium blockchain‐enabled access control mechanism in edge computing based generic Internet of Things environment", Trans. Emerg. Telecommun. Technol., vol. 32, no. 6, p. e3995, 2021.
[http://dx.doi.org/10.1002/ett.3995]
[http://dx.doi.org/10.1002/ett.3995]
[34]
N. Shi, L. Tan, C. Yang, C. He, J. Xu, Y. Lu, and H. Xu, "BacS: A blockchain-based access control scheme in distributed internet of things", Peer-to-Peer Netw. Appl., vol. 14, no. 5, pp. 2585-2599, 2021.
[http://dx.doi.org/10.1007/s12083-020-00930-5]
[http://dx.doi.org/10.1007/s12083-020-00930-5]
[35]
Y.A.Z. Syed, M.A. Shah, H.A. Khattak, C. Maple, H.T. Rauf, A.M. El-Sherbeeny, and M.A. El-Meligy, "An attribute-based access control for iot using blockchain and smart contracts", Sustainability, vol. 13, 2021.
[36]
A. Qashlan, P. Nanda, X. He, and M. Mohanty, "Privacy- preserving mechanism in smart home using blockchain", IEEE Access, vol. 9, .
[37]
Y. Xiao, Y. Liu, and T. Li, "Edge computing and blockchain for quick fake news detection in IoV", Sensors, vol. 20, no. 16, p. 4360, 2020.
[38]
A. Nawaz, J.P. Queralta, J. Guan, M. Awais, T.N. Gia, A.K. Bashir, H. Kan, and T. Westerlund, "Edge computing to secure IOT data ownership and trade with the ethereum blockchain", Sensors, vol. 20, 2020.
[39]
R. Akkaoui, X. Hei, and W. Cheng, "EdgeMediChain: A hybrid edge blockchain-based framework for health data exchange", IEEE Access, vol. 8, 2020.
[40]
X. Li, L. Gong, X. Liu, F. Jiang, W. Shi, L. Fan, H.G. Rui Li, and J. Xu, "Solving the last mile problem in logistics: Amobile edge computing and blockchain-based unmanned aerial vehicle delivery system", Concurr. Comput., 2020.
[41]
Y. Cheng, B. Gong, Z. Jia, Y. Yang, Y. He, and X. Zhang, "Efficient and secure cross-domain sharing of blockchain electronic medical records based on edge computing", Security Commun. Net., vol. 2021, p. 7310771, 2021.
[http://dx.doi.org/10.1155/2021/7310771]
[http://dx.doi.org/10.1155/2021/7310771]
[42]
X. Li, X. Huang, C. Li, R. Yu, and L. Shu, "EdgeCare: Leveraging edge computing for collaborative data management in mobile healthcare systems", IEEE Access, vol. 7, 2019.
[43]
Y. Zhu, C. Huang, Z. Hu, A. Al-Dhelaan, and M. Al-Dhelaan, "Blockchain-enabled access management system for edge computing", Electronics, vol. 10, no. 9, p. 1000, 2021.
[44]
Y. Zhu, X. Wu, and Z. Hu, "Fine grained access control based on smart contract for edge computing", Electronics, vol. 11, 2022.
[45]
J. Zhang, C. Lu, G. Cheng, T. Guo, J. Kang, X. Zhang, X. Yuan, and X. Yan, "A blockchain-based trusted edge platform in edge computing environment", Sensors, vol. 21, 2021.
[46]
B. Ma, Z. Ye, X. Zhang, J. Chen, Y. Zhou, and Q. Xia, "Security of edge computing based on trusted computing", In 6th International Symposium on System and Software Reliability (ISSSR), Chengdu, China, 24-25 Oct, 2020.
[http://dx.doi.org/10.1109/ISSSR51244.2020.00030]
[http://dx.doi.org/10.1109/ISSSR51244.2020.00030]
[47]
M.P. Jagjivan, J.P. Shrikant, J.N. Vijay, and K.R. Pradeep, "Secure digital voting system based on aadhaar authentication by using blockchain technology", In 2021 IEEE Mysore Sub Section International Conference (MysuruCon), Hassan, India, 2021.
[http://dx.doi.org/10.1109/MysuruCon52639.2021.9641577]
[http://dx.doi.org/10.1109/MysuruCon52639.2021.9641577]
[48]
Q. Xie, F. Dong, and X. Feng, "ECLB: Edge-computing-based lightweight blockchain framework for mobile systems", Security Commun. Net., vol. 2021, p. 5510586, 2021.
[http://dx.doi.org/10.1155/2021/5510586]
[http://dx.doi.org/10.1155/2021/5510586]
[49]
E. Bonnah, and J. Shiguang, "DecChain: A decentralized security approach in Edge Computing based on Blockchain", Future Gener. Comput. Syst., vol. 113, pp. 363-379, 2020.
[http://dx.doi.org/10.1016/j.future.2020.07.009]
[http://dx.doi.org/10.1016/j.future.2020.07.009]
[50]
L. Cui, Z. Chen, S. Yang, Z. Ming, Q. Li, Y. Zhou, S. Shiping Chen, and Q. Lu, "A blockchain-based containerized edge computing platform for the internet of vehicles", IEEE Int. Things J., vol. 8, no. 4, pp. 2395-2408, 2021.
[http://dx.doi.org/10.1109/JIOT.2020.3027700]
[http://dx.doi.org/10.1109/JIOT.2020.3027700]
[51]
T. Górski, "Integration flows modeling in the context of architectural views", IEEE Access, vol. 11, pp. 35220-35231, 2023.
[http://dx.doi.org/10.1109/ACCESS.2023.3265210]
[http://dx.doi.org/10.1109/ACCESS.2023.3265210]
[52]
V. Malik, R. Mittal, D. Mavaluru, B.R. Narapureddy, S.B. Goyal, R.J. Martin, K. Srinivasan, and A. Mittal, "Building a secure platform for digital governance interoperability and data exchange using blockchain and deep learning-based frameworks", IEEE Access, vol. 11, pp. 70110-70131, 2023.
[http://dx.doi.org/10.1109/ACCESS.2023.3293529]
[http://dx.doi.org/10.1109/ACCESS.2023.3293529]
[53]
S. Pal, A. Dorri, and R. Jurdak, "Blockchain for IoT access control: Recent trends and future research directions", J. Netw. Comput. Appl., vol. 203, p. 103371, 2022.
[http://dx.doi.org/10.1016/j.jnca.2022.103371]
[http://dx.doi.org/10.1016/j.jnca.2022.103371]
[54]
P. Patil, M. Sangeetha, and V. Bhaskar, "Blockchain for IoT access control, security and privacy: a review", Wirel. Pers. Commun., vol. 117, no. 3, pp. 1815-1834, 2021.
[http://dx.doi.org/10.1007/s11277-020-07947-2]
[http://dx.doi.org/10.1007/s11277-020-07947-2]
Call for Papers in Thematic Issues
16 November, 2024
Advanced integration of computer vision and AI algorithms for automated applications in vehicles
Automation is a key component of present automobile industry to enhance the innovation through artificial intelligence. Intelligent automation in the autonomous vehicles can replace humans and provide better safety movements of vehicles. Global shift towards human to automation needs high risk mitigation technologies. The vast challenges of autonomous vehicles are ...read more
26 November, 2024
AI-based Emerging Technologies in Sentiment Analysis for Intelligent Chatbots
This special issue aims to explore how the latest technologies are transforming the way conversational agents and virtual assistants work. Every day, new advancements are emerging, such as AI systems beating the world's best Go player and the development of self-driving cars. Additionally, large number of start-ups and technical organizations ...read more
16 February, 2025
An advanced hierarchical clustering algorithm using wireless sensor networks
Besides structuring the sensor nodes into several clusters and selecting a cluster from each group, hierarchical clustering tends to hinder the use of wireless sensor networks. The cluster head collects data from the component nodes of the cluster and sends it to the base station. In order to extend the ...read more
16 November, 2024
Blockchain based Trust and Security Mechanisms for Big Data Sharing in Collaborative IoT Ecosystems
The idea of practical things having socialising, detection identification, and computational capabilities residing on the Internet is recognised as the Internet of Things (IoT). IoT systems usually rely on sending data to be processed by centralised web servers. Blockchain software, along with big data, pervasive monitoring systems, and virtualization, is ...read more
Related Journals
International Journal of Sensors, Wireless Communications and Control
Journal of Fuzzy Logic and Modeling in Engineering
Current Chinese Science
The Chinese Journal of Artificial Intelligence
Current E-Learning
Current Computer Science
Journal of Intelligent Systems in Current Computer Engineering
Wireless and Communication Letters
Current Machine Learning
Related Books
A Handbook of Computational Linguistics: Artificial Intelligence in Natural Language Processing
Green Industrial Applications of Artificial Intelligence and Internet of Things
Cyber Forensics and Investigation on Smart Devices
Digital Innovation Adoption: Architectural Recommendations and Security Solutions
Optimization Techniques for Decision-making and Information Security
Artificial Intelligence, Machine Learning and User Interface Design
Cyber Physical Systems - Advances and Applications
IoT-enabled Sensor Networks: Architecture, Methodologies, Security, and Futuristic Applications
AIoT and Big Data Analytics for Smart Healthcare Applications
Research Trends in Artificial Intelligence: Internet of Things
Article Metrics
10
1