A scalable and lightweight group authentication framework for Internet of Medical Things using integrated blockchain and fog computing

Alsaeed, Norah; Nadeem, Farrukh; Albalwy, Faisal

doi:10.1016/j.future.2023.09.032

Cited by 13 publications

(1 citation statement)

References 19 publications

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“…If 𝑃 = −𝑄 , the additional results are determined Ό, as shown in Equation ( 4). In a point 𝑃 ∈ 𝐸 𝑝, 𝑎, 𝑏 , a scalar point multiplication 𝑘 ∈ 𝑍 is denoted in Equation (6).…”

Section: Proxy Re-encryption With Enhanced Salp Swarm Algorithmmentioning

confidence: 99%

Effective Identification and Authentication of Healthcare IoT Using Fog Computing with Hybrid Cryptographic Algorithm

Corthis,

Ramesh,

García-Torres

et al. 2024

Symmetry

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Currently, Internet of Things (IoT)-based cloud systems face several problems such as privacy leakage, failure in centralized operation, managing IoT devices, and malicious attacks. The data transmission between the cloud and healthcare IoT needs trust and secure transmission of Electronic Health Records (EHRs). IoT-enabled healthcare equipment is seen in hospitals that have been implementing the technology for many years. Nonetheless, medical agencies fail to consider the security risk associated with healthcare IoT devices, which are readily compromised and cause potential threats to authentication and encryption procedures. Existing cloud computing methods like homomorphic encryption and the elliptic curve cryptography are unable to meet the security, identity, authentication, and security needs of healthcare IoT devices. The majority of conventional healthcare IoT algorithms lack secure data transmission. Therefore, fog computing is introduced to overcome the problems of IoT device verification, authentication, and identification for scalable and secure transmission of data. In this research manuscript, fog computing includes a hybrid mathematical model: Elliptic Curve Cryptography (ECC) and Proxy Re-encryption (PR) with Enhanced Salp Swarm Algorithm (ESSA) for IoT device verification, identification, and authentication of EHRs. ESSA is incorporated into the PR algorithm to determine the optimal key size and parameters of the PR algorithm. Specifically, in the ESSA, a Whale Optimization Algorithm (WOA) is integrated with the conventional Salp Swarm Algorithm (SSA) to enhance its global and local search processes. The primary objective of the proposed mathematical model is to further secure data sharing in the real time services. The extensive experimental analysis shows that the proposed model approximately reduced 60 Milliseconds (ms) to 18 milliseconds of processing time and improved 25% to 3% of reliability, compared to the traditional cryptographic algorithms. Additionally, the proposed model obtains a communication cost of 4260 bits with a memory usage of 680 bytes in the context of security analysis.

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Section: Proxy Re-encryption With Enhanced Salp Swarm Algorithmmentioning

confidence: 99%

Effective Identification and Authentication of Healthcare IoT Using Fog Computing with Hybrid Cryptographic Algorithm

Corthis,

Ramesh,

García-Torres

et al. 2024

Symmetry

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Blockchain‐based smart and secure manufacturing systems

Zhu,

Zhang

2024

Internet Technology Letters

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In the current data sharing environment of smart manufacturing systems, there is a lack of a transparent, open, and fair interaction environment, and there exists a serious imbalance in data sharing and transmission, which leads to data trust issues. To address this challenge, we propose a fine‐grained access control method for IoT data sharing based on blockchain technology (the Bayesian information criterion [BIC] scheme for IoT data sharing). This approach includes ex‐ante supervision and authentication of data sources, fine‐grained access control during data usage, and ex‐post tracking of malicious users. Firstly, a system model is built, and symmetric encryption is used to encrypt the data in order to improve computational efficiency. Subsequently, scheme design and algorithm design are carried out to encrypt the symmetric key using ciphertext‐policy attribute‐based encryption to achieve one‐to‐many data sharing, which greatly reduces the number of repeated encryptions and computational overheads. The data owner uploads the encrypted data to the cloud server, and the data user must hold the token generated by the blockchain to interact with the cloud and obtain the corresponding information. The results show that the BIC scheme not only ensures the legitimacy and security of data access but also locks up and traces malicious users who may have compromised their private keys, preventing illegal data sharing and key misuse; it offers significant advantages in terms of storage efficiency and time consumption, and also facilitates a flexible and secure data sharing process.

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A systematic review on security aspects of fog computing environment: Challenges, solutions and future directions

Kaur

2024

Computer Science Review

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A scalable and lightweight group authentication framework for Internet of Medical Things using integrated blockchain and fog computing

Cited by 13 publications

References 19 publications

Effective Identification and Authentication of Healthcare IoT Using Fog Computing with Hybrid Cryptographic Algorithm

Effective Identification and Authentication of Healthcare IoT Using Fog Computing with Hybrid Cryptographic Algorithm

Blockchain‐based smart and secure manufacturing systems

A systematic review on security aspects of fog computing environment: Challenges, solutions and future directions

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