An Intelligent Quantum Cyber-Security Framework for Healthcare Data Management

被引:0
|
作者
Gupta, Kishu [1 ]
Saxena, Deepika [2 ]
Rani, Pooja [3 ]
Kumar, Jitendra [4 ]
Makkar, Aaisha [5 ]
Singh, Ashutosh Kumar [6 ,7 ]
Lee, Chung-Nan [1 ]
机构
[1] Natl Sun Yat Sen Univ, Dept Comp Sci & Engn, Kaohsiung 80424, Taiwan
[2] Univ Aizu, Sch Comp Sci & Engn, Aizu Wakamatsu 9650006, Japan
[3] Natl Inst Technol Kurukshetra, Dept Comp Applicat, Kurukshetra 136119, India
[4] Maulana Azad Natl Inst Technol Bhopal, Dept Math Bioinformat & Comp Applicat, Bhopal 462003, India
[5] Univ Derby, Coll Comp Sci & Engn, Derby DE22 3AW, England
[6] Indian Inst Informat Technol Bhopal, Dept Comp Sci & Engn, Bhopal 462003, India
[7] Univ Econ & Human Sci, Dept Comp Sci, PL-01043 Warsaw, Poland
关键词
Medical services; Encryption; Data breach; Quantum computing; Data models; Data communication; Predictive models; Automated healthcare data security; malicious entity prediction; quantum encryption; quantum feed forward neural network; NETWORKS;
D O I
10.1109/TASE.2024.3456209
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Digital healthcare is essential to facilitate consumers to access and disseminate their medical data easily for enhanced medical care services. However, the significant concern with digitalization across healthcare systems necessitates for a prompt, productive, and secure storage facility along with a vigorous communication strategy, to stimulate sensitive digital healthcare data sharing and proactive estimation of malicious entities. In this context, this paper introduces a comprehensive quantum-based framework to overwhelm the potential security and privacy issues for secure healthcare data management. It equips quantum encryption for the secured storage and dispersal of healthcare data over the shared cloud platform by employing quantum encryption. Also, the framework furnishes a quantum feed-forward neural network unit to examine the intention behind the data request before granting access, for proactive estimation of potential data breach. In this way, the proposed framework delivers overall healthcare data management by coupling the advanced and more competent quantum approach with machine learning to safeguard the data storage, access, and prediction of malicious entities in an automated manner. Thus, the proposed IQ-HDM leads to more cooperative and effective healthcare delivery and empowers individuals with adequate custody of their health data. The experimental evaluation and comparison of the proposed IQ-HDM framework with state-of-the-art methods outline a considerable improvement up to 67.6%, in tackling cyber threats related to healthcare data security.
引用
收藏
页码:6884 / 6895
页数:12
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