IoT-based DDoS on Cyber Physical Systems: Research Challenges, Datasets and Future Prospects

Manish Snehi, A. Bhandari
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引用次数: 3

Abstract

The fusion of widespread IoT devices, highly adopted cloud services, and advanced network technologies has laid the foundation of Cyber-Physical Systems. However, the architecture is highly vulnerable due to weak security bound to IoT devices. The IoT devices have played a significant role in launching DDoS attacks, thereby making the state of affairs catastrophic. The attacks are novel and traditional systems are not efficient enough to address high volume and diverse attacks. The roadblock to researchers is the unavailability of an adequate number of datasets that apprehends the diversity of attacks. The paper describes the specifications of cyber-physical systems, description of IoT-DDoS attacks, and highlights the research challenges. The paper further collates and elucidates the IoT-DDoS datasets with a comparative analysis of the test environment, features offered, and statistical details of datasets. At the end of the paper, based on the dataset study, recommendations are proposed for dataset standardization and extracting most out of the datasets.
网络物理系统中基于物联网的DDoS:研究挑战、数据集和未来展望
广泛的物联网设备、高度采用的云服务和先进的网络技术的融合为信息物理系统奠定了基础。然而,由于与物联网设备绑定的安全性较弱,该架构极易受到攻击。物联网设备在发起DDoS攻击方面发挥了重要作用,从而使事态变得灾难性。这些攻击是新颖的,传统系统的效率不足以应对大容量和多样化的攻击。研究人员的障碍是缺乏足够数量的数据集来理解攻击的多样性。本文介绍了网络物理系统的规范,物联网ddos攻击的描述,并强调了研究的挑战。本文进一步整理和阐述了IoT-DDoS数据集,并对测试环境、提供的功能和数据集的统计细节进行了比较分析。最后,在数据集研究的基础上,提出了数据集标准化和数据集最优提取的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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