一个高效的ECC和基于模糊验证器的用户身份验证协议用于物联网启用了WSNs.
T Sudhakar1, R Praveen2, V Natarajan3
1Department of Computer Technology, Anna University, MIT Campus, Chennai, Tamil Nadu, 600044, India. tsudhakar105@gmail.com.
Scientific reports
|March 23, 2025
概括
本研究介绍了一种安全的双因素身份验证 (2FA) 方法,用于物联网 (IoT) 支持的无线传感器网络 (WSN). 它使用圆曲线加密 (ECC) 和模糊验证器增强数据隐私和完整性,提供高效和强大的安全性.
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:
- 启用物联网 (IoT) 的无线传感器网络 (WSN) 对数据收集至关重要,但在数据传输方面面临安全挑战.
- 现有的WSN相互认证方案在平衡安全性,可用性和效率方面存在局限性.
- 确保开放网络中的数据完整性和隐私对于支持物联网的WSN至关重要.
研究的目的:
- 为支持物联网的WSN提出一种新的双因素身份验证 (2FA) 技术,克服现有方案的缺点.
- 为了增强WSN认证中的安全性-可用性-效率权衡.
- 为资源有限的WSN提供一个计算高效和强大的安全解决方案.
主要方法:
- 开发了一种两因素身份验证 (2FA) 技术,集成圆曲线加密 (ECC) 和模糊验证器.
- 实现了密码认证系统,该系统衍生出随机模糊验证器,而不是存储决定性的哈希.
- 使用真实或随机模型正式验证证券,并与现有方案进行比较分析.
主要成果:
- 拟议方案的计算成本为8.9569 ms,远低于现有方法.
- 证明了针对各种攻击的增强安全性,解决了WSN的限制.
- 对比评估证实了拟议的战略的有效性和可行性,以保护支持物联网的WSN应用程序.
结论:
- 拟议的ECC和基于模糊验证器的2FA方案为支持物联网的WSN提供了一个安全,用户友好和计算效率高的解决方案.
- 该技术有效地解决了WSN固有的安全-可用性冲突和资源限制.
- 这种方法为在资源有限的WSN环境中实现现实世界提供了一个有希望和可行的解决方案.
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