安全分析和提供身份验证协议,基于IOT平台中的点对点结构
1School of Computer and Information Engineering, Fuyang Normal University, Fuyang, 236037, Anhui, China. 200607017@fynu.edu.cn.
Scientific reports
|October 27, 2024
概括
本研究介绍了用于物联网 (IoT) 安全的两种新的双因素身份验证 (2FA) 方法,增强隐私和真实性. 拟议的技术提高了响应时间,并减少了安全物联网通信的计算复杂性.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 网络工程 网络工程
背景情况:
- 物联网 (IoT) 安全性至关重要,数据机密性,真实性和隐私性面临挑战.
- 圆曲线加密提供了强大的安全性,但在响应时间,身份验证延迟和内存消耗方面面临限制.
- 双因素身份验证 (2FA) 通过要求两个不同的验证因子,比单因素身份验证 (SFA) 提供了增强的安全性.
研究的目的:
- 为物联网 (IoT) 环境介绍两种新的双因素身份验证 (2FA) 方法.
- 提高物联网通信的安全性,效率和隐私.
- 解决现有身份验证协议的局限性,特别是响应时间和内存使用情况.
主要方法:
- 开发了两种新的2FA方法,包括加密,混架构和和弦架构.
- 实现了通信各方之间双向启动身份验证过程.
- 评估了使用三个场景的方法,并测量了反应时间,内存使用量和连接延迟.
主要成果:
- 提出的方法证明了计算复杂性,反应时间和通信延迟的降低.
- 平均反应时间为0.016秒.
- 平均内存使用量为30,360KB,平均连接延迟为0.042秒.
- 在和弦结构中将手指表长度增加到10,15和20,平均反应时间提高到0.012秒.
结论:
- 新的2FA方法为物联网应用程序的性能和安全性提供了显著的改进.
- 这些技术有效地减少了计算开销和延迟,提高了用户体验和系统效率.
- 拟议的方法提供了一个可行的解决方案,在物联网技术不断发展的环境中实现安全和高效的身份验证.
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