Internet of Things (IoT) is a whole new ecosystem comprised of heterogeneous connected devices -i.e. computers, laptops, smart-phones and tablets as well as embedded devices and sensors-that communicate to deliver capabilities making our living, cities, transport, energy, and many other areas more intelligent. The main concerns raised from the IoT ecosystem are the devices poor support for patching/updating and the poor on-board computational power. A number of issues stem from this: inherent vulnerabilities and the inability to detect and defend against external attacks. Also, due to the nature of their operation, the devices tend to be rather open to communication, which makes attacks easy to spread once reaching a network. The aim of this research is to investigate if it is possible to extract useful results regarding attacks' trends and be able to predict them, before it is too late, by crawling Deep/Dark and Surface web. The results of this work show that is possible to find the trend and be able to act proactively in order to protect the IoT ecosystem.
翻译:互联网(IoT)是一个全新的生态系统,由各种连接装置组成,即计算机、膝上型电脑、智能手机和平板电脑,以及内嵌装置和传感器,用来传递能力,使我们的生活、城市、交通、能源和其他许多领域更加智能,IoT生态系统提出的主要问题是,对补装/更新支持不足和机载计算能力差的装置,由此引起的一些问题:固有的脆弱性和无法探测和防御外部攻击。此外,由于其操作的性质,这些装置往往相当开放,一旦到达网络,攻击便容易传播。这一研究的目的是,如果有可能获取攻击趋势的有用结果,并能够在太晚之前通过爬上深海/达克和水面网预测这些结果。这项工作的结果显示,有可能找到趋势,并能够积极主动地采取行动,以保护IoT生态系统。