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一个轻量级的信任机制与攻击检测物联网的物联网.
Xujie Zhou1, Jinchuan Tang1, Shuping Dang2
1State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang 550025, China.
Entropy (Basel, Switzerland)
|August 26, 2023
概括
本研究介绍了物联网 (IoT) 设备的轻量级信任机制,增强了对信任攻击的安全性. 该系统提供准确的信任估计,并有效地隔离恶意设备.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
背景情况:
- 物联网 (IoT) 设备面临信任评估的挑战,原因是资源有限,易受信任攻击.
- 现有的信任机制可能受到单一来源偏差的影响,并且无法适应动态设备状态变化.
研究的目的:
- 为物联网设备提出一个轻量级和适应性的信任机制.
- 为应对物联网环境中有限资源和复杂的信任攻击所带来的挑战.
- 提高信任估计的准确性和响应性.
主要方法:
- 利用贝叶斯统计和Jøsang的信念模型来量化信任,允许多源反来减轻偏见.
- 实现了一个忘记算法,以确保信任估计反映了最新的设备状态.
- 开发了一个"坦哥"算法和假设测试,用于信任攻击的检测和缓解.
主要成果:
- 拟议的机制提供了准确的信任估计,即使在联合和勾结攻击.
- 该系统有效排除恶意设备,并迅速恢复对合法设备的信任.
- 忘记算法自动调整参数以实现最佳性能,平衡准确性和复杂性.
结论:
- 开发的信任机制强大,轻量级,并且可以适应安全的物联网生态系统.
- 它成功地对抗各种信任攻击,确保在动态环境中可靠的信任评估.
- 这种方法比传统的物联网信任管理方法提供了显著的改进.
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