دانلود رایگان مقاله انگلیسی چارچوب مقابله با کاهش DDoS چند سطحی برای اینترنت اشیای صنعتی - IEEE 2018

Abstract

The Industrial Internet of Things is growing fast. But the rapid growth of IIoT devices raises a number of security concerns, because the IIoT device is weak in defending against malware, and the method of managing a large number of IIoT devices is awkward and inconvenient. This article proposes a multi-level DDoS mitigation framework (MLDMF) to defend against DDoS attacks for IIoT, which includes the edge computing level, fog computing level, and cloud computing level. Software defined networking is used to manage a large number of IIoT devices and to mitigate DDoS attacks in IIoT. Experimental results show the effectiveness of the proposed framework.

Conclusion and Future Work

In this article, we propose a multi-level DDoS mitigation framework for IIoT that includes an edge computing level, a fog computing level, and a cloud computing level. The edge computing level uses SDN-based IIoT gateways to manage and protect IIoT perception nodes. The fog computing level mainly consists of an IIoT management control unit. The IMCU uses a cluster of SDN controllers and applications to detect and counteract DDoS attacks. The cloud computing level employs big data and intelligent computing to analyze network traffic, which forms an intelligent attack detection and mitigation framework to defend against DDoS attacks. Simulation results are presented to show that a combination of edge computing’s quick response ability, fog computing’s state awareness ability, cloud computing’s powerful computing capability, and SDN’s networking programmability is promising to solve the DDoS attack problem in IIoT. Future work is in progress to consider blockchain technologies in the proposed framework.