EBIAS:基于 ECC 的物联网设备区块链身份验证方案

IF 3.2 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Wenyue Wang , Biwei Yan , Baobao Chai , Ruiyao Shen , Anming Dong , Jiguo Yu
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引用次数: 0

摘要

在物联网(IoT)中,大量设备使用各种通信技术连接在一起,以确保它们可以通过物理和网络进行通信。然而,设备面临着单点故障的挑战,恶意用户可能伪造设备身份来获取访问权限,从而危及系统安全。此外,设备收集和传输敏感数据,这些数据可能被未经授权的用户访问或窃取,从而导致隐私泄露,这对用户信息的机密性和设备完整性的保护都构成了重大风险。因此,为了解决上述问题,实现数据的安全传输,本文提出了一种针对物联网设备的安全高效的基于区块链的身份认证方案EBIAS。首先,EBIAS将ECC算法与SHA-256算法相结合,实现敏感数据的加密通信。其次,EBIAS集成了区块链,解决了单点故障,保证了敏感数据的完整性。最后,我们进行了安全性分析并进行了充分的实验。分析和实验结果表明,与以往的方案相比,EBIAS在安全性和性能上都有一定的提高,进一步证明了EBIAS的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EBIAS: ECC-enabled blockchain-based identity authentication scheme for IoT device
In the Internet of Things (IoT), a large number of devices are connected using a variety of communication technologies to ensure that they can communicate both physically and over the network. However, devices face the challenge of a single point of failure, a malicious user may forge device identity to gain access and jeopardize system security. In addition, devices collect and transmit sensitive data, and the data can be accessed or stolen by unauthorized user, leading to privacy breaches, which posed a significant risk to both the confidentiality of user information and the protection of device integrity. Therefore, in order to solve the above problems and realize the secure transmission of data, this paper proposed EBIAS, a secure and efficient blockchain-based identity authentication scheme designed for IoT devices. First, EBIAS combined the Elliptic Curve Cryptography (ECC) algorithm and the SHA-256 algorithm to achieve encrypted communication of the sensitive data. Second, EBIAS integrated blockchain to tackle the single point of failure and ensure the integrity of the sensitive data. Finally, we performed security analysis and conducted sufficient experiment. The analysis and experimental results demonstrate that EBIAS has certain improvements on security and performance compared with the previous schemes, which further proves the feasibility and effectiveness of EBIAS.
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CiteScore
4.70
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