IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Concurrency and Computation-Practice & Experience Pub Date : 2025-01-13 DOI:10.1002/cpe.8378
P. Vinayasree, A. Mallikarjuna Reddy
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引用次数: 0

摘要

与其他依赖互联网设施的系统相比,医疗保健系统拥有大部分敏感信息,因此对网络攻击高度敏感。由于区块链具有更强的安全性和更高的效率,它被整合到医疗保健领域,以确保可靠的数据传输。然而,为了提高集成系统的可靠性和效率,我们提出了一种基于许可的区块链安全框架,该框架结合了多种技术。为了能够在区块链上存储和验证包含医疗数据的区块,矿工使用委托股权证明(DPoS)共识协议进行管理。该协议能有效地从参与者名单中选择矿工。然后,使用带有偶数-罗德(RI-ER)编码散列方案的递归索引创建区块。该算法是一种比普通哈希算法更高效的索引方案。验证过程由矿工使用用户提供的哈希值进行。通过使用 Kaggle 的肾病数据集,对所提出方法的性能进行了评估。性能分析表明,与其他方案相比,建议的方法非常有效。
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A Reliable and Secure Permissioned Blockchain-Assisted Data Transfer Mechanism in Healthcare-Based Cyber-Physical Systems

Healthcare systems are highly sensitive to cyberattacks as these systems possess most of the sensitive information compared to other systems relying on internet facilities. Due to the stronger security merits and efficiency of blockchain, it is integrated with the healthcare sector to ensure reliable data transfer. However, to improve the reliability and efficiency of the integrated system, a permissioned blockchain-based security framework combining several techniques is proposed. To enable storing and validating blocks containing medical data on the blockchain, the miner is administered using the delegated proof of stake (DPoS) consensus protocol. This protocol is efficient in choosing the miner from the list of participants. Then, the blocks are created using recursive indexing with an Even–Rodeh (RI-ER) coding hashing scheme. This algorithm is an indexing scheme that is much more efficient than the normal hashing algorithms. The validation process is carried out by the miner using the hash values provided to the users. By using the kidney disease dataset from Kaggle, the performance of the proposed method is evaluated. The performance analysis proved the effectiveness of the proposed approach compared to other schemes.

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来源期刊
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
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