Integrated Security Framework for Healthcare Using Blockchain and Fog Computing

Sivasangari, A.; Sonti, V.J.K. Kishor; Ajitha, P.; Deepa, D.; Vignesh, R.

doi:10.1109/parc52418.2022.9726539

Cited by 8 publications

(3 citation statements)

References 9 publications

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“…Enhancing the potential of cloud computing in healthcare, edge computing represents an attractive concept. The study [17] provided support for the relevant study on blockchain technology by elucidating the fundamental principles of the technology and discussing its applications, regulatory issues, and security issues. A decentralized core architecture called blockchain was seen in newly popular digital currencies that incorporate encryption.…”

Section: Related Workmentioning

confidence: 98%

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Developing a Security Enhancement for Healthcare Applications Using Blockchain-Based Firefly-Optimized Elliptic Curve Digital Signature Algorithm

Alex,

2024

Preprint

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Presently the growing digitalization of healthcare systems implies appropriate safety measures that are necessary to protect sensitive patient data and the accuracy of medical records. During this paper, an individual blockchain-based security upgrade plan customized for healthcare applications is proposed. The blockchain is a distributed ledger technology that is secure and distributed. Initially, we gathered the healthcare dataset from standardization was used to create effective data partitioning. To suggest an encryption scheme that relies on blockchain technology to improve data transmission security, this study demonstrates the fundamentals of contemporary cryptography by introducing a revolutionary technique that enhances the integration of the Firefly optimized Elliptic Curve Digital Signature Algorithm (FOECDSA) with lightweight advanced decryption. In this study, Microsoft's SQL server is used to manage and store structured data. The proposed approach is compared with the existing methods and the improved encryption technique is evaluated and tested using specific standard parameters.

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Section: Related Workmentioning

confidence: 98%

“…, 𝑊 𝑗 (𝑗 = 1,2,3, … . 𝑀) (17) In this example, 𝑤 𝑗 and 𝑤 𝑖 each stand for the location of firefly 𝑗 and firefly 𝑖, respectively. The current location of the Firefly is denoted by𝑤 𝑠 , whereas its starting position is denoted by𝛽(𝑤 𝑖 − 𝑤 𝑗 ).…”

Section: Firefly Algorithmmentioning

confidence: 99%

Developing a Security Enhancement for Healthcare Applications Using Blockchain-Based Firefly-Optimized Elliptic Curve Digital Signature Algorithm

Alex,

2024

Preprint

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“…It is a system model that simply considers restricted IoT medical equipment. An edge-cloud-based distributed security architecture supporting blockchain [ 11 ] can reduce the IoT network edge layer and enhance the capabilities of cloud computing in the healthcare field by detecting security attacks at the cloud layer.…”

Section: Related Workmentioning

confidence: 99%

Research on Medical Security System Based on Zero Trust

Wang

Xue

et al. 2023

Sensors

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With the rapid development of Internet of Things technology, cloud computing, and big data, the combination of medical systems and information technology has become increasingly close. However, the emergence of intelligent medical systems has brought a series of network security threats and hidden dangers, including data leakage and remote attacks, which can directly threaten patients’ lives. To ensure the security of medical information systems and expand the application of zero trust in the medical field, we combined the medical system with the zero-trust security system to propose a zero-trust medical security system. In addition, in its dynamic access control module, based on the RBAC model and the calculation of user behavior risk value and trust, an access control model based on subject behavior evaluation under zero-trust conditions (ABEAC) was designed to improve the security of medical equipment and data. Finally, the feasibility of the system is verified through a simulation experiment.

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Dynamic stochastic game-based security of edge computing based on blockchain

Wang

2023

J Supercomput

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Integrated Security Framework for Healthcare Using Blockchain and Fog Computing

Cited by 8 publications

References 9 publications

Developing a Security Enhancement for Healthcare Applications Using Blockchain-Based Firefly-Optimized Elliptic Curve Digital Signature Algorithm

Developing a Security Enhancement for Healthcare Applications Using Blockchain-Based Firefly-Optimized Elliptic Curve Digital Signature Algorithm

Research on Medical Security System Based on Zero Trust

Dynamic stochastic game-based security of edge computing based on blockchain

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