Blockchain and Big Data: Supportive Aid for Daily Life

Jumani, Awais Khan; Laghari, Asif Ali; Khan, Abdullah Ayub

doi:10.1002/9781119776529.ch8

Cited by 7 publications

(3 citation statements)

References 45 publications

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“…For instance, chain codes are used in distributed e-healthcare applications to automate transaction tracing, index data distribution, logging, and authentication in order to stop illegal conduct. In [25], the quality issues that is currently present with blockchain technology implementation. Additionally, it specifes terminologies related to smart contracts in industries, public, private, hybrid, and consortia blockchains, as well as the properties that are necessary, including autonomy, transparency, immutability, data integrity, and security.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Secure Sharing of Electronic Health Records Using IoT-Based Hyperledger Blockchain

S.,

M.,

et al. 2024

International Journal of Intelligent Systems

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Electronic Health Record (EHR) systems are a valuable and effective tool for exchanging medical information about patients between hospitals and other significant healthcare sector stakeholders in order to improve patient diagnosis and treatment around the world. Nevertheless, the majority of the hospital infrastructures that are now in place lack the proper security, trusted access control, and management of privacy and confidentiality concerns that the current EHR systems are supposed to provide. Goal. For various EHR systems, this research proposes a Blockchain-enabled Hyperledger Fabric Architecture as a solution to this delicate issue. The three steps of the suggested system are the secure upload phase, the secure download phase, and authentication. Patient registration, login, and verification make up the authentication step. The administrator grants authorization to read, edit, delete, or revoke the files following user details verification. In the secure upload phase, feature extraction is carried out first, and then a hashed access policy is created from the extracted feature. Next, the hash value is stored in an IoT-based Hyperledger blockchain. The uploaded EHR files are additionally encrypted before being stored on the cloud server. In the secure download step, the physician uses a hashed access policy to send the request to the cloud and decrypts the corresponding files. The experimental findings demonstrate that the system outperformed cutting-edge techniques. The proposed Modified Key Policy Attribute-Based Encryption performs better for the remaining 10 to 25 mb file sizes. This IoT framework compares MKP-ABE with certain efficiency indicators, such as encryption, decryption period, protection level analysis and encrypted memory use, resource use on decryption, upload time, and transfer time, which are present in the KP-ABE, the ECC, RSA, and AES. Here, the IoT device suggested requires 4008 ms for data encryption and 4138 ms for the data decryption.

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Section: Related Workmentioning

confidence: 99%

An Efficient Secure Sharing of Electronic Health Records Using IoT-Based Hyperledger Blockchain

S.,

M.,

et al. 2024

International Journal of Intelligent Systems

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“…This can be stored on the blockchain storage system along with the process of preservation, such as on-chain communication (smart contract) and off-chain communication (QoS with cost-efficient transactions) services available and the rate of utilized healthcare services preservation. In the healthcare system, data are more sensitive and confidential [48]. Therefore, medical data, processing information, service optimization, and computation must be preserved and checked against and analyzed by the blockchain-aware serverless hashes of the distributed QoS-ledger on-chain.…”

Section: Medical Sensitive Data-related Protection and Privacy Challe...mentioning

confidence: 99%

“…Furthermore, they cannot provide scalability services, but depend on the high rate of data. This also restricts the direct or continuous processes of medical node transactions on serverless aware networks, transparency of patients' information, domain cost efficiency, size of data, which is inherent in nature, latency, and increased cost of scalability security [48,49]. However, when compared to simply monitoring and analyzing the cost-effective scheduling of medical-data processing and service optimization, the proposed QoS-ledger solution is the most important.…”

Section: Security Costs and Scalability Limitations For Medical Datamentioning

confidence: 99%

QoS-Ledger: Smart Contracts and Metaheuristic for Secure Quality-of-Service and Cost-Efficient Scheduling of Medical-Data Processing

et al. 2021

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Quality-of-service (QoS) is the term used to evaluate the overall performance of a service. In healthcare applications, efficient computation of QoS is one of the mandatory requirements during the processing of medical records through smart measurement methods. Medical services often involve the transmission of demanding information. Thus, there are stringent requirements for secure, intelligent, public-network quality-of-service. This paper contributes to three different aspects. First, we propose a novel metaheuristic approach for medical cost-efficient task schedules, where an intelligent scheduler manages the tasks, such as the rate of service schedule, and lists items utilized by users during the data processing and computation through the fog node. Second, the QoS efficient-computation algorithm, which effectively monitors performance according to the indicator (parameter) with the analysis mechanism of quality-of-experience (QoE), has been developed. Third, a framework of blockchain-distributed technology-enabled QoS (QoS-ledger) computation in healthcare applications is proposed in a permissionless public peer-to-peer (P2P) network, which stores medical processed information in a distributed ledger. We have designed and deployed smart contracts for secure medical-data transmission and processing in serverless peering networks and handled overall node-protected interactions and preserved logs in a blockchain distributed ledger. The simulation result shows that QoS is computed on the blockchain public network with transmission power = average of −10 to −17 dBm, jitter = 34 ms, delay = average of 87 to 95 ms, throughput = 185 bytes, duty cycle = 8%, route of delivery and response back variable. Thus, the proposed QoS-ledger is a potential candidate for the computation of quality-of-service that is not limited to e-healthcare distributed applications.

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