Suppr超能文献

利用认知无线电网络的医疗保健监测系统的智能无线传感器技术。

Smart Wireless Sensor Technology for Healthcare Monitoring System Using Cognitive Radio Networks.

机构信息

Faculty of Engineering and Information Technology, University of Technology Sydney (UTS), Sydney 2007, Australia.

School of Interdisciplinary Engineering & Sciences (SINES) NUST, Islamabad 44000, Pakistan.

出版信息

Sensors (Basel). 2023 Jul 2;23(13):6104. doi: 10.3390/s23136104.

Abstract

Programmable Object Interfaces are increasingly intriguing researchers because of their broader applications, especially in the medical field. In a Wireless Body Area Network (WBAN), for example, patients' health can be monitored using clinical nano sensors. Exchanging such sensitive data requires a high level of security and protection against attacks. To that end, the literature is rich with security schemes that include the advanced encryption standard, secure hashing algorithm, and digital signatures that aim to secure the data exchange. However, such schemes elevate the time complexity, rendering the data transmission slower. Cognitive radio technology with a medical body area network system involves communication links between WBAN gateways, server and nano sensors, which renders the entire system vulnerable to security attacks. In this paper, a novel DNA-based encryption technique is proposed to secure medical data sharing between sensing devices and central repositories. It has less computational time throughout authentication, encryption, and decryption. Our analysis of experimental attack scenarios shows that our technique is better than its counterparts.

摘要

可编程对象接口因其更广泛的应用而引起了研究人员的兴趣,特别是在医学领域。例如,在无线体域网 (WBAN) 中,可以使用临床纳米传感器来监测患者的健康状况。交换此类敏感数据需要高水平的安全性和防范攻击的保护。为此,文献中提供了许多安全方案,包括高级加密标准、安全哈希算法和数字签名,旨在确保数据交换的安全性。然而,这些方案会增加时间复杂度,从而降低数据传输速度。具有医疗体域网系统的认知无线电技术涉及 WBAN 网关、服务器和纳米传感器之间的通信链路,这使得整个系统容易受到安全攻击。在本文中,提出了一种新的基于 DNA 的加密技术,用于保护传感设备和中央存储库之间的医疗数据共享。它在整个身份验证、加密和解密过程中具有更少的计算时间。我们对实验攻击场景的分析表明,我们的技术优于其他技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc8a/10346715/d3573033948e/sensors-23-06104-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验