Enhanced Decentralized Management of Patient-Driven Interoperability Based on Blockchain

Khan, Asad; Shahid, Affaf; Tariq, Fatima; Ghaffar, Abdul; Jamal, Abid; Abbas, Shahid; Javaid, Nadeem

doi:10.1007/978-3-030-33506-9_74

Cited by 6 publications

(7 citation statements)

References 26 publications

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“…A blockchain-based technique was presented in [27] which depends on patient-driven interoperability and thus discusses in what way this could be leveraged by blockchain.…”

Section: Related Workmentioning

confidence: 99%

Decentralized Consensus Blockchain and IPFS-Based Data Aggregation for Efficient Data Storage Scheme

Subathra

Antonidoss

Singh

2022

Security and Communication Networks

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By the development and advancement of blockchain technique, Internet of Things (IoT) proliferation driven devices and the application of blockchain-enabled IoT alter the view and operating infrastructure of the smart networks. The blockchain is responsible for supporting decentralized systems and offers secured means of authentication, management, and access to IoT system thereby deploying smart contracts offered by Ethereum. The increasing demand and the blockchain expansion generate huge volume of sensitive data. The growing demand and expansion of blockchain-IoT systems is generating large volume of sensitive data. Furthermore, distributed denial-of-service (DDoS) attacks are regarded as the most promising threats for smart contracts in the blockchain-based systems. Therefore, there is a need to detect and classify the attack type and the data should be stored in server more securely with the use of blockchain and data aggregation method. For this purpose, this presented technique aims at introducing decentralized consensus blockchain and Interplanetary file system (IPFS) based data aggregation for effective classification and data storage. The attack is detected using meta-hyperparameter random forest (MHP-RF) classifier. Once the attack is detected, the transaction information is stored in server securely by means of smart contract-based blockchain system. The transaction handling stage classifies the transaction type as normal or abnormal one which then followed by execution of business logic by smart contract thereby appending the transaction of blockchain in the network cloud. The consensus blockchain technique is employed with the use of PoW-enabled scheme integrated with Elgamal-based data aggregation. Therefore, the system security is improved and the intrusion is prevented greatly. The performance analysis of the system is analyzed in terms of accuracy, precision, recall, F-score, Encryption time, decryption time, execution time, and space complexity. The attained outcomes are compared with traditional approaches to prove the effectiveness of proposed strategy. The proposed system is said to be effective in time consumption, classifier performance, and in overcoming space complexity issues.

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“…A blockchain-based technique was presented in [27] which depends on patient-driven interoperability and thus discusses in what way this could be leveraged by blockchain.…”

Section: Related Workmentioning

confidence: 99%

Decentralized Consensus Blockchain and IPFS-Based Data Aggregation for Efficient Data Storage Scheme

Subathra

Antonidoss

Singh

2022

Security and Communication Networks

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“…Whereas storing only Ipfs hash on the block requires less gas amount and hence less ether. We have shown the gas consumption details from the [12] for varying size of file upload on the blockchain network. However, directly upload of files limits the blockchain with scalability challenge.…”

Section: Results Analysismentioning

confidence: 99%

“…The direct file upload in the blockchain network for healthcare interoperability is shown in Fig. 13 (taken from [12]). In our proposed model, we have only shared the content-addressed hash rather than direct storing the files on the blockchain network.…”

Section: Results Analysismentioning

confidence: 99%

“…The presented state-of-the-art indicates that there is an increase in the research of blockchain technology in healthcare and used mostly for the management of medical records within the healthcare system. The work in [12] presented patient-driven interoperability, to share the medical records of patient's. To access patient records, healthcare providers get permission from the corresponding owner of the records.…”

Section: Security and Privacy Issue In Healthcare Interoperabilitymentioning

confidence: 99%

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Scalable Inter-operable and Secure Healthcare Framework For Sharing Patient Medical Report using Blockchain and IPFS Technology

Kumar

2022

Preprint

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Today the current healthcare system is the next frontier for the digital transformation, as patients demand control over their sensitive medical records, with the anticipation that their record is securely stored and correctly shared with the right parties by leveraging patient-centered interoperability techniques. However, the traditional approach falls into the category of enterprise integration platforms to maintain the interoperability for different healthcare providers, whose responsibility is to build bridges between the different silos to allow data to flow back and forth and to allow services to work with each other. The problem with the traditional approach of interoperability is that the data itself is still locked inside silos systems within each participating organization in the overall ecosystem. This traditional approach of interoperability brings new challenges in the healthcare systems viz., privacy, security, and mutability of the patient's record. To address these issues, we have proposed a blockchain-based scalable and secure healthcare interoperability framework that ensures secure storage of patient's records by preserving privacy and immutability of their data. In the proposed model, we integrate blockchain and interplanetary file systems (IPFS) with smart-contracts that enabled patient-centered interoperability in the healthcare domain. Our system provides patients an immutable log and easy access to their health records across the different healthcare organizations. Furthermore, patients authorize healthcare providers to access their health records through patient-centered interoperability techniques leveraged by smart-contracts operations.

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“…The data saved in blockchain is immutable and does not face a single point of failure issue [16]. The blockchain has different applications like healthcare [17], banking, energy trading [18], and smart cities [19]. The blockchain has three types: public, private, and consortium.…”

Section: Introductionmentioning

confidence: 99%

Exploiting Machine Learning to Detect Malicious Nodes in Intelligent Sensor-Based Systems Using Blockchain

Sajid

Ullah

Javaid

et al. 2022

Wireless Communications and Mobile Computing

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In this paper, a blockchain-based secure routing model is proposed for the Internet of Sensor Things (IoST). The blockchain is used to register the nodes and store the data packets’ transactions. Moreover, the Proof of Authority (PoA) consensus mechanism is used in the model to avoid the extra overhead incurred due to the use of Proof of Work (PoW) consensus mechanism. Furthermore, during routing of data packets, malicious nodes can exist in the IoST network, which eavesdrop the communication. Therefore, the Genetic Algorithm-based Support Vector Machine (GA-SVM) and Genetic Algorithm-based Decision Tree (GA-DT) models are proposed for malicious node detection. After the malicious node detection, the Dijkstra algorithm is used to find the optimal routing path in the network. The simulation results show the effectiveness of the proposed model. PoA is compared with PoW in terms of the transaction cost in which PoA has consumed 30% less cost than PoW. Furthermore, without Man In The Middle (MITM) attack, GA-SVM consumes 10% less energy than with MITM attack. Moreover, without any attack, GA-SVM consumes 30% less than grayhole attack and 60% less energy than mistreatment. The results of Decision Tree (DT), Support Vector Machine (SVM), GA-DT, and GA-SVM are compared in terms of accuracy and precision. The accuracy of DT, SVM, GA-DT, and GA-SVM is 88%, 93%, 96%, and 98%, respectively. The precision of DT, SVM, GA-DT, and GA-SVM is 100%, 92%, 94%, and 96%, respectively. In addition, the Dijkstra algorithm is compared with Bellman Ford algorithm. The shortest distances calculated by Dijkstra and Bellman are 8 and 11 hops long, respectively. Also, security analysis is performed to check the smart contract’s effectiveness against attacks. Moreover, we induced three attacks: grayhole attack, mistreatment attack, and MITM attack to check the resilience of our proposed system model.

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Enhanced Decentralized Management of Patient-Driven Interoperability Based on Blockchain

Cited by 6 publications

References 26 publications

Decentralized Consensus Blockchain and IPFS-Based Data Aggregation for Efficient Data Storage Scheme

Decentralized Consensus Blockchain and IPFS-Based Data Aggregation for Efficient Data Storage Scheme

Scalable Inter-operable and Secure Healthcare Framework For Sharing Patient Medical Report using Blockchain and IPFS Technology

Exploiting Machine Learning to Detect Malicious Nodes in Intelligent Sensor-Based Systems Using Blockchain

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