区块链支持的物联网身份管理:对抗对抗AI的多层防御
Muhammad Usama1, Arshad Aziz2, Nada Alasbali3
1Department of Cyber Security, Pakistan Navy Engineering College, National University of Sciences and Technology (NUST), Karachi, 75350, Pakistan.
Scientific reports
|February 2, 2026
概括
本研究介绍了一种新的物联网 (IoT) 区块链安全系统,用于打击人工智能驱动的身份攻击. 该系统增强了设备的安全性和隐私,同时提高了对复杂威胁的性能.
科学领域:
- 网络安全 网络安全
- 计算机科学 计算机科学
- 密码学 密码学 密码学 密码学
背景情况:
- 物联网 (IoT) 设备的越来越多的部署,特别是在关键基础设施中,需要强大的和可扩展的身份管理系统.
- 现有的集中身份系统容易受到基于人工智能 (AI) 的复杂攻击,包括生成伪造和深度假冒,这构成了重大安全风险.
研究的目的:
- 提出一种新的基于区块链的物联网安全系统,解决集中式方法的局限性.
- 提高物联网身份系统对人工智能驱动的对抗技术的弹性.
- 确保物联网生态系统内的保护隐私的设备注册和验证.
主要方法:
- 实现一个分散的身份验证架构.
- 整合零知识证明 (ZKP) 用于保护隐私的身份验证.
- 利用抵御拜占庭的联合学习来进行安全的模型训练.
- 应用正式验证技术,以确保智能合约的安全性.
- 敌对模拟,符号执行和值密码学,以实现强大的防御.
主要成果:
- 与现有框架相比,显著改进,包括对基于生成对手网络 (GAN) 的伪造虚假验收率降低48%.
- 实现了零知识证明 (ZKP) 验证流程的加快.
- 消除了单一的信任点,并通过正式建模的状态过渡提供了对AI驱动攻击的防御.
结论:
- 拟议的区块链支持的身份管理系统为保护物联网环境免受基于人工智能的威胁提供了强大的解决方案.
- 该系统有效平衡性能和安全性,为物联网身份验证提供了可扩展和保护隐私的方法.
- 这项研究为提高关键物联网基础设施的可靠性和弹性提供了一个新的框架.
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