DataCryptChain 的验证和用户体验测试:结合区块链技术和非对称加密技术的开源标准,可实现研究数据的私密性、安全性、可共享性和防篡改性。

PLOS digital health Pub Date : 2025-02-24 eCollection Date: 2025-02-01 DOI:10.1371/journal.pdig.0000741
Jeffrey Michael Franc
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引用次数: 0

摘要

DataCryptChain是一个开源标准,结合区块链和先进的加密技术,确保研究数据保持私有、安全、可共享和防篡改。检测故意篡改数据的能力被测量,并评估用户体验。在本研究中,模拟数据集随机被篡改或未被篡改,并测量篡改检测。志愿者使用该软件完成分配任务的能力被评估。在10000个模拟数据集(4436个随机篡改)中,检测的灵敏度和特异性均为100%。所有志愿者都成功安装了DataCryptChain,其中5/6完成了任务。所有参与者都能够在不暴露未加密数据的情况下传输数据,也不需要共享密码。人们注意到用户体验方面的几个缺陷。重要的是,测试用户认为,尽管他们愿意在实践中使用DataCryptChain,但它需要一个更用户友好的界面。本研究展示了一种使用区块链和非对称加密的新算法,尽管以前在理论上有记录,但从未作为工作软件包发布。虽然DataCryptChain在检测数据篡改方面具有100%的灵敏度和特异性,但需要进一步开发以改善用户体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validation and user experience testing of DataCryptChain: An open-source standard combining blockchain technology with asymmetric encryption for private, secure, shareable, and tamper-proof research data.

DataCryptChain is an open-source standard combining blockchain with advanced encryption ensuring research data remains private, secure, shareable, and tamper-proof. Ability to detect intentional tampering of data was measured, and user experience was evaluated. In this study, simulated datasets were randomized to be tampered with or not tampered with, and detection of tampering was measured. Volunteer's ability to complete assigned tasks using the software was evaluated. Among 10000 simulated datasets (4436 randomized to tampering) there was 100% sensitivity and specificity for detection. All volunteers successfully installed DataCryptChain and 5/6 completed their tasks. All participants were able to transmit data without ever exposing unencrypted data and with no need to share passwords. Several deficiencies in the user experience were noted. Importantly, the test users felt that although they would be willing to use DataCryptChain in practice, it would need a more user-friendly interface. This study demonstrates a novel algorithm using blockchain and asymmetric encryption that, although previously documented theoretically, has never been published as a working software package. While DataCryptChain has 100% sensitivity and specificity for detecting data tampering, further development is needed to improve the user experience.

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