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Building an Intelligent Global IoT Reputation and Malicious Devices Detecting System
Journal of Network and Systems Management ( IF 4.1 ) Pub Date : 2021-06-17 , DOI: 10.1007/s10922-021-09611-x
Qussai Yaseen , Yaser Jararweh

The Internet of Things (IoT) applications are growing immensely. However, malicious IoT devices are major concerns that threaten the security of IoT applications. This paper proposes an intelligent reputation system for IoT devices using edge computing and cloud computing infrastructures. The proposed system can be used to mitigate the effect of malicious and malfunction IoT devices. Therefore, the proposed system can be used to enhance the effectiveness of IoT based systems such as smart cities, and reduce the risk of malicious IoT devices especially in sensitive systems, such as military applications, that leverage IoT devices. To achieve this goal, the paper proposes a new identification method for uniquely and globally identifying IoT devices wherever they move. Moreover, the paper proposes a new approach for computing the reputation of IoT devices, and calculating correct values based on these reputations. The results show that the proposed approach achieves very good results in detecting malicious IoT devices and computing very close values to the true values.



中文翻译:

构建智能的全球物联网声誉和恶意设备检测系统

物联网 (IoT) 应用程序正在迅速增长。然而,恶意物联网设备是威胁物联网应用安全的主要问题。本文提出了一种使用边缘计算和云计算基础设施的物联网设备智能信誉系统。所提出的系统可用于减轻恶意和故障物联网设备的影响。因此,所提出的系统可用于增强基于物联网的系统(如智能城市)的有效性,并降低恶意物联网设备的风险,尤其是在利用物联网设备的敏感系统(如军事应用)中。为实现这一目标,本文提出了一种新的识别方法,用于在物联网设备移动到任何地方时对其进行唯一和全局识别。而且,该论文提出了一种计算物联网设备声誉的新方法,并根据这些声誉计算正确的值。结果表明,所提出的方法在检测恶意物联网设备和计算与真实值非常接近的值方面取得了非常好的结果。

更新日期:2021-06-18
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