SAOA: Skill archimedes optimization algorithm based privacy enhancement for blockchain storage optimization in medical IoT environment

IF 4 3区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Computers & Electrical Engineering Pub Date : 2025-04-15 DOI:10.1016/j.compeleceng.2025.110270

Kavita R․ Shelke , Subhash K․ Shinde

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引用次数: 0

Abstract

This paper develops an efficient technique for storage optimization in medical IoT based on privacy enhancement. Initially, in the medical IoT devices, the transactions are generated and sent them to the base station (BS), where the data sensing is performed and the IoT devices collect the data. After that, the data from BS is transferred to peers in the blockchain (BC). Before storing the data in the cloud, adaptive segmentation is performed using a fuzzy clustering-based time series approach. Subsequently, during the encryption process, the data blocks are encrypted with a privacy protection model employing the Advanced Encryption Standard (AES) algorithm. The Deep Kronecker Network (DKN) is utilized for key generation. Finally, the blocks are selected optimally for each peer by using the Skill Archimedes Optimization Algorithm (SAOA). Here, SAOA is the combination of the Skill Optimization Algorithm (SOA) and Archimedes Optimization Algorithm (AOA). The performance of the developed SAOA model is evaluated based on metrics, such as transmission time, query probability, storage cost, local space occupancy, sensitivity level, trust level, and transmission time and achieved maximum values of 0.392, 19.672, 51.7 MB, 0.925, 0.866 and 0.610 s, respectively.

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SAOA：基于技能阿基米德优化算法的医疗物联网环境下区块链存储优化隐私增强

本文开发了一种基于隐私增强的高效医疗物联网存储优化技术。起初，医疗物联网设备生成交易并将其发送到基站（BS），基站进行数据传感，物联网设备收集数据。之后，数据从基站传输到区块链（BC）中的对等方。在将数据存储到云中之前，会使用基于模糊聚类的时间序列方法进行自适应分割。随后，在加密过程中，采用高级加密标准（AES）算法的隐私保护模型对数据块进行加密。密钥生成采用深度克罗内克网络（DKN）。最后，使用技能阿基米德优化算法（SAOA）为每个对等点优化选择数据块。在这里，SAOA 是技能优化算法（SOA）和阿基米德优化算法（AOA）的结合。根据传输时间、查询概率、存储成本、本地空间占用率、灵敏度级别、信任级别和传输时间等指标，对所开发的 SAOA 模型的性能进行了评估，其最大值分别为 0.392、19.672、51.7 MB、0.925、0.866 和 0.610 s。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computers & Electrical Engineering 工程技术-工程：电子与电气

CiteScore

9.20

自引率

7.00%

发文量

661

审稿时长

47 days

期刊介绍： The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.