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Enhanced BB84 quantum cryptography protocol for secure communication in wireless body sensor networks for medical applications
Personal and Ubiquitous Computing ( IF 3.006 ) Pub Date : 2021-03-18 , DOI: 10.1007/s00779-021-01546-z
Anusuya Devi V 1 , Kalaivani V 1
Affiliation  

Wireless body sensor network (WBSN) is an interdisciplinary field that could permit continuous health monitoring with constant clinical records updates through the Internet. WBAN is a special category of wireless networks. Coronavirus disease 2019 (COVID-19) pandemic creates the situation to monitor the patient remotely following the social distance. WBSN provides the way to effectively monitor the patient remotely with social distance. The data transmitted in WBSN are vulnerable to attacks and this is necessary to take security procedure like cryptographic protocol to protect the user data from attackers. Several physiological sensors are implanted in the human body that will collect various physiological updates to monitor the patient’s healthcare data remotely. The sensed information will be transmitted wirelessly to doctors all over the world. But it has too many security threats like data loss, masquerade attacks, secret key distribution problems, unauthorized access, and data confidentiality loss. When any attackers are attacking the physiological sensor data, there is a possibility of losing the patient’s information. The creation, cancellation, and clinical data adjustment will produce a mass effect on the healthcare monitoring system. Present-day cryptographic calculations are highly resistant to attacks, but the only weak point is the insecure movement of keys. In this paper, we look into critical security threats: secure key distribution. While sharing the secret key between communicating parties in the wireless body sensor networks in the conventional method like via phone or email, the attackers will catch the private key. They can decrypt and modify more sensitive medical data. It can cause a significant effect like death also. So need an effective, secure key distribution scheme for transmission of human body health related data to medical professional through wireless links. Moreover, a new enhanced BB84 Quantum cryptography protocol is proposed in this paper for sharing the secret key among communicating parties in a secure manner using quantum theory. Besides, a bitwise operator is combined with quantum concepts to secure the patient’s sensed information in the wireless environment. Instead of mail and phone via sharing secret key, quantum theory with the bitwise operator is used here. Therefore, it is not possible to hack the secret key of communication. The body sensor’s constrained assets as far as battery life, memory, and computational limit are considered for showing the efficiency of the proposed security framework. Based on experimental results, it is proven that the proposed algorithm EBB84QCP provides high secure key distribution method without direct sharing the secret key and it used the quantum mechanism and bitwise operator for generating and distributing secret key value to communicating parties for sensitive information sharing in the wireless body sensor networks.



中文翻译:

增强型 BB84 量子加密协议,用于医疗应用无线人体传感器网络中的安全通信

无线身体传感器网络(WBSN)是一个跨学科领域,可以通过互联网不断更新临床记录来实现持续的健康监测。WBAN 是无线网络的一个特殊类别。2019 年冠状病毒病 (COVID-19) 大流行创造了在保持社交距离的情况下远程监控患者的条件。WBSN 提供了通过社交距离有效远程监控患者的方法。WBSN中传输的数据容易受到攻击,因此有必要采取加密协议等安全程序来保护用户数据免受攻击。人体中植入了多个生理传感器,这些传感器将收集各种生理更新信息,以远程监控患者的医疗数据。感应到的信息将通过无线方式传输给世界各地的医生。但它存在太多的安全威胁,如数据丢失、伪装攻击、密钥分发问题、未经授权的访问和数据机密性丢失。当任何攻击者攻击生理传感器数据时,就有可能丢失患者的信息。临床数据的创建、取消和调整将对医疗保健监控系统产生巨大的影响。目前的密码计算具有很强的抗攻击能力,但唯一的弱点是密钥的不安全移动。在本文中,我们研究了关键的安全威胁:安全密钥分发。当通过电话或电子邮件等传统方法在无线人体传感器网络中的通信方之间共享密钥时,攻击者会捕获私钥。他们可以解密和修改更敏感的医疗数据。它也可能导致死亡等重大影响。因此需要一种有效、安全的密钥分配方案,用于通过无线链路将人体健康相关数据传输给医疗专业人员。此外,本文提出了一种新的增强型 BB84 量子密码协议,用于利用量子理论以安全的方式在通信各方之间共享密钥。此外,按位运算符与量子概念相结合,以确保无线环境中患者的感知信息的安全。这里使用带有按位运算符的量子理论,而不是通过共享密钥的邮件和电话。因此,不可能破解通信密钥。为了显示所提出的安全框架的效率,考虑了身体传感器在电池寿命、内存和计算限制方面的受限资产。基于实验结果证明,所提出的算法EBB84QCP提供了高度安全的密钥分发方法,无需直接共享密钥,它利用量子机制和按位运算符生成密钥值并将其分发给通信双方,以实现敏感信息共享。无线身体传感器网络。

更新日期:2021-03-19
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