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基于人工智能和区块链的安全数据传播架构,用于支持物联网的关键基础设施
Tejal Rathod1, Nilesh Kumar Jadav1, Sudeep Tanwar1
1Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad 382481, India.
Sensors (Basel, Switzerland)
|November 14, 2023
概括
本研究介绍了人工智能和区块链架构,以确保物联网 (IoT) 数据在关键基础设施中的安全. 该系统有效地识别和减轻数据中毒攻击,提高整体物联网安全性.
科学领域:
- 网络安全 网络安全
- 人工智能的人工智能
- 区块链技术 区块链技术
背景情况:
- 物联网 (IoT) 对关键基础设施至关重要,但由于异质的数据和传感器通信漏洞,它面临安全和隐私挑战.
- 针对物联网传感器通信的攻击可以破坏制造业,运输和农业的基本服务.
研究的目的:
- 提出一种新的人工智能 (AI) 和区块链驱动的架构,用于在基于物联网的关键基础设施中安全传播数据.
- 为解决物联网环境中异质数据处理引起的安全和隐私问题.
主要方法:
- 使用主要组件分析 (PCA) 和可解释AI (XAI) 的尺寸缩小.
- 使用人工智能分类器将数据分类为恶意或非恶意:随机森林 (RF),决策树 (DT),支持矢量机 (SVM),感知器和高斯天真贝耶斯 (GaussianNB).
- 使用星际文件系统 (IPFS) 驱动的区块链网络和异常检测来应对数据中毒攻击的安全数据存储.
主要成果:
- 随机森林 (RF) 分类器以98.46%的准确率达到最高,超过了其他评估的AI分类器.
- 拟议的架构在识别恶意数据实例和删除有毒数据方面表现出有效性.
- 由IPFS驱动的区块链网络为非恶意数据提供了增强的安全性.
结论:
- 集成的AI和区块链架构为在关键基础设施中保护物联网数据提供了强大的解决方案.
- 该研究强调了先进的人工智能技术,特别是射频技术在物联网生态系统中检测和减轻网络威胁方面的有效性.
- 在物联网安全中,异常检测对于保持AI分类器对数据中毒攻击的完整性至关重要.
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