论文标题

关于物联网僵尸网络攻击检测的最新评论

A State-of-the-Art Review on IoT botnet Attack Detection

论文作者

Al-Othman, Zainab, Alkasassbeh, Mouhammd, Baddar, Sherenaz AL-Haj

论文摘要

我们今天所知道的互联网包括几个基本相互关联的网络,其中包括物联网(IoT)。尽管它们具有多功能性,但从安全角度来看,几种物联网设备仍然很容易受到影响,这使它们成为多次安全漏洞,尤其是僵尸网络攻击的有利目标。在这项研究中,将探讨物联网僵尸网络攻击的概念框架,以及几种基于机械的僵尸网络检测技术。这项研究还基于Bot-Iot数据集进行了分析和对比几种僵尸网络检测技术。最新的现实IOT数据集包括最新的IoT僵尸网络攻击方案。

The Internet as we know it Today, comprises several fundamental interrelated networks, among which is the Internet of Things (IoT). Despite their versatility, several IoT devices are vulnerable from a security perspective, which renders them as a favorable target for multiple security breaches, especially botnet attacks. In this study, the conceptual frameworks of IoT botnet attacks will be explored, alongside several machinelearning based botnet detection techniques. This study also analyzes and contrasts several botnet Detection techniques based on the Bot-IoT Dataset; a recent realistic IoT dataset that comprises state-of-the-art IoT botnet attack scenarios.

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