Attribute-Based Encryption Schemes for Next Generation Wireless IoT Networks: A Comprehensive Survey
Author:
Shruti 12ORCID, Rani Shalli2ORCID, Sah Dipak Kumar3, Gianini Gabriele4ORCID
Affiliation:
1. Goswami Ganesh Dutta Sanatan Dharma College, Chandigarh 160030, India 2. Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, India 3. Department of Computer Engineering and Applications, GLA University, Mathura 281406, Uttar Pradesh, India 4. Dipartimento di Informatica, Università degli Studi di Milano, Via Celoria 18, 20133 Milano, Italy
Abstract
Most data nowadays are stored in the cloud; therefore, cloud computing and its extension—fog computing—are the most in-demand services at the present time. Cloud and fog computing platforms are largely used by Internet of Things (IoT) applications where various mobile devices, end users, PCs, and smart objects are connected to each other via the internet. IoT applications are common in several application areas, such as healthcare, smart cities, industries, logistics, agriculture, and many more. Due to this, there is an increasing need for new security and privacy techniques, with attribute-based encryption (ABE) being the most effective among them. ABE provides fine-grained access control, enables secure storage of data on unreliable storage, and is flexible enough to be used in different systems. In this paper, we survey ABE schemes, their features, methodologies, benefits/drawbacks, attacks on ABE, and how ABE can be used with IoT and its applications. This survey reviews ABE models suitable for IoT platforms, taking into account the desired features and characteristics. We also discuss various performance indicators used for ABE and how they affect efficiency. Furthermore, some selected schemes are analyzed through simulation to compare their efficiency in terms of different performance indicators. As a result, we find that some schemes simultaneously perform well in one or two performance indicators, whereas none shines in all of them at once. The work will help researchers identify the characteristics of different ABE schemes quickly and recognize whether they are suitable for specific IoT applications. Future work that may be helpful for ABE is also discussed.
Funder
European Union–NextGenerationEU
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference102 articles.
1. FDAC: Toward fine-grained distributed data access control in wireless sensor networks;Yu;IEEE Trans. Parallel Distrib. Syst.,2011 2. A lightweight and scalable attribute based encryption system for smart cities;Rasori;Comput. Commun.,2020 3. Attribute-based encryption and sticky policies for data access control in a smart home scenario: A comparison on networked smart object middleware;Sicari;Int. J. Inf. Secur.,2020 4. Baza, M., Nabil, M., Lasla, N., Fidan, K., Mahmoud, M., and Abdallah, M.M. (2019, January 15–18). Blockchain-based firmware update scheme tailored for autonomous vehicles. Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019, Marrakesh, Morocco. 5. La Manna, M., Treccozzi, L., Perazzo, P., Saponara, S., and Dini, G. (2021). Performance evaluation of attribute-based encryption in automotive embedded platform for secure software over-the-air update. Sensors, 21.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|