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评估无线传感器网络的信任管理框架

Pranav Gangwani¹, Alexander Perez-Pons¹, Himanshu Upadhyay¹

¹Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA.

Sensors (Basel, Switzerland)

|May 11, 2024

概括

本研究比较了无线传感器网络 (WSN) 的三种信任管理模型. 基于贝叶斯和 (LTMBE) 模型的轻量级信任管理在能源效率方面表现出色,而基于β的信任和声誉评估系统 (BTRES) 提供了卓越的安全性.

科学领域:

计算机科学计算机科学
网络安全网络安全
无线传感器网络 (WSN) 是一种无线传感器网络.

背景情况:

WSNs对于医疗保健,国防和农业至关重要,但容易受到网络攻击.
在WSN中的恶意节点可以损害数据完整性和网络功能.
现有的信任框架由于复杂性和数据稀缺性而面临实施挑战.

研究的目的:

对WSNs进行三种不同的信任管理模型进行比较分析.
在各种场景和网络攻击下评估LTMBE,BTRES和LDTS的性能.
根据特定的WSN应用要求,确定最佳的信任模型.

主要方法:

基于贝叶斯和的轻量级信任管理 (LTMBE),基于β的信任和声誉评估系统 (BTRES) 和轻量级可靠信任系统 (LDTS) 的比较分析.
跨多个场景的绩效评估,包括对两个重大网络攻击的反应.
对能源效率和安全有效性的实证评估.

主要成果:

该LTMBE模型显示出卓越的能源效率,使其成为资源有限的WSN应用程序的理想选择.
该BTRES模型提供了增强的安全性,适合WSN需要强大的保护恶意活动.
此外,还评估了LDTS的表现,为比较提供了基线.

结论:

建议LTMBE用于高能效的WSN,而BTRES最适合安全关键的WSN.
该比较分析作为未来WSN信任管理研究的宝贵基准.
选择合适的信任模型对于确保WSN安全性和效率至关重要.

关键词:

贝塔分布贝塔分布贝塔分布进入的过程中,物联网 (IoT) 的物联网 (IoT) 的物联网.信任管理的信任管理.无线传感器网络 (WSN) 是指无线传感器网络.

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