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面对新冠疫情后的远程医疗信息系统(TMIS)中的元启发式安全传输

Metaheuristic secured transmission in Telecare Medical Information System (TMIS) in the face of post-COVID-19.

作者信息

Dey Joydeep, Sarkar Arindam, Karforma Sunil, Chowdhury Bappaditya

机构信息

Department of Computer Science, M.U.C. Women's College, Burdwan, West Bengal India.

Department of Computer Science and Electronics, Ramakrishna Mission Vidyamandira, Belur, West Bengal India.

出版信息

J Ambient Intell Humaniz Comput. 2023;14(6):6623-6644. doi: 10.1007/s12652-021-03531-z. Epub 2021 Oct 23.

Abstract

The outbreak of novel corona virus had led the entire world to make severe changes. A secured healthcare data transmission has been proposed through Telecare Medical Information System (TMIS) based on metaheuristic salp swarm. Patients need proper medical remote treatments in this Post-COVID-19 time from their quarantines. Secured transmission of medical data is a significant challenge of digitally overwhelmed environment. The objective is to impart the patients' data by encryption with confidentiality and integrity. Eavesdroppers can carry sniffing and spoofing in order to deluge the data. In this paper, a novel scheme on metaheuristic salp swarm based intelligence has been sculptured to encrypt electrocardiograms (ECG) for data privacy. Metaheuristic approach has been blended in cryptographic engineering to address the TMIS security issues. Session key has been derived from the weight vector of the fittest salp from the salp population. The exploration and exploitation control the movements of the salps. The proposed technique baffles the eavesdroppers by the key strength and other robustness factors. The results, thus obtained, were compared with some existing classical techniques with benchmark results. The proposed MSE and RMSE were 28,967.85, and 81.17 respectively. The time needed to decode 128 bits proposed session key was 8.66 × 10 years. The proposed cryptographic time was 8.8 s.

摘要

新型冠状病毒的爆发使整个世界发生了巨大变化。基于元启发式樽海鞘群算法的远程医疗信息系统(TMIS)被提出用于安全的医疗数据传输。在新冠疫情后的这段时期,处于隔离状态的患者需要适当的医疗远程治疗。在数字信息过载的环境中,安全的医疗数据传输是一项重大挑战。其目标是通过加密来确保患者数据的保密性和完整性。窃听者可能会进行嗅探和欺骗以获取数据。本文设计了一种基于元启发式樽海鞘群算法的新颖方案,用于加密心电图(ECG)以保护数据隐私。元启发式方法已被融入密码工程中以解决TMIS的安全问题。会话密钥是从樽海鞘群体中最适合的樽海鞘的权重向量导出的。探索和利用控制着樽海鞘的移动。所提出的技术通过密钥强度和其他稳健性因素使窃听者难以得逞。将由此获得的结果与一些现有的经典技术及其基准结果进行了比较。所提出的均方误差(MSE)和均方根误差(RMSE)分别为28,967.85和81.17。解码128位所提出的会话密钥所需的时间为8.66×10年。所提出的加密时间为8.8秒。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6ea/8536920/676a08f33422/12652_2021_3531_Fig1_HTML.jpg

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