Sarkar Arindam, Singh Moirangthem Marjit, Mandal Jyotsna Kumar
Department of Computer Science and Electronics, Ramakrishna Mission Vidyamandira, Belur Math, Howrah, West Bengal 711202 India.
Department of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology, Nirjuli, Arunachal Pradesh 791109 India.
Arab J Sci Eng. 2021;46(4):3301-3317. doi: 10.1007/s13369-020-05136-8. Epub 2021 Jan 2.
This paper deals with one of the key problems of e-healthcare which is the security. Patients are worried about the confidentiality of their electronic medical record (EMR) which could be used to expose their identities. It is high time to revisit the confidentiality and security issues of the existing telehealth system. Intruders can perform sniffing, spoofing, or phishing operations effortlessly during the online exchange of the EMR using a digital platform. The EMR must be transmitted anonymously with a high degree of hardness of encryption by protecting the authentication, confidentiality, and integrity criteria of the patient. These requirements recommend the security of the current system to be improved. In this paper, a neural synchronization-guided concatenation of header and secret shares with the ability to transmit the EMR with an end-to-end security protocol has been proposed. This proposed methodology breaks down the EMR into the number of secret shares and transmits to the number of recipients. The original EMR can be reconstructed after the amalgamation of a minimum (threshold) number of secret shares. The novelty of the technique is that one share should come from a specific recipient to whom a special privilege is given to recreate the EMR among such a predefined number of shares. In the absence of this privileged share, the original EMR cannot be reconstructed. This proposed technique has passed various parametric tests. The results are compared with existing benchmark techniques. The results of the proposed technique have shown robust and effective potential.
本文探讨了电子医疗保健的关键问题之一，即安全性。患者担心其电子病历（EMR）的保密性，因为这些病历可能会被用于暴露他们的身份。现在是时候重新审视现有远程医疗系统的保密性和安全性问题了。在使用数字平台在线交换EMR的过程中，入侵者可以轻松地进行嗅探、欺骗或网络钓鱼操作。必须通过保护患者的认证、保密性和完整性标准，以高度的加密强度对EMR进行匿名传输。这些要求表明当前系统的安全性有待提高。本文提出了一种基于神经同步引导的头部和秘密份额拼接方法，该方法能够通过端到端安全协议传输EMR。所提出的方法将EMR分解为若干秘密份额，并传输给若干接收者。在合并至少（阈值）数量的秘密份额后，可以重建原始EMR。该技术的新颖之处在于，其中一份份额应来自特定的接收者，该接收者被赋予在预先定义数量的份额中重建EMR的特殊权限。如果没有这份特权份额，就无法重建原始EMR。所提出的技术已经通过了各种参数测试。并将结果与现有的基准技术进行了比较。所提出技术的结果显示出了强大而有效的潜力。
