Faculty of Computer Science, University of New Brunswick (UnB), Fredericton, NB E3B 5A3, Canada.
Sensors (Basel). 2023 Jun 26;23(13):5941. doi: 10.3390/s23135941.
Nowadays, the Internet of Things (IoT) concept plays a pivotal role in society and brings new capabilities to different industries. The number of IoT solutions in areas such as transportation and healthcare is increasing and new services are under development. In the last decade, society has experienced a drastic increase in IoT connections. In fact, IoT connections will increase in the next few years across different areas. Conversely, several challenges still need to be faced to enable efficient and secure operations (e.g., interoperability, security, and standards). Furthermore, although efforts have been made to produce datasets composed of attacks against IoT devices, several possible attacks are not considered. Most existing efforts do not consider an extensive network topology with real IoT devices. The main goal of this research is to propose a novel and extensive IoT attack dataset to foster the development of security analytics applications in real IoT operations. To accomplish this, 33 attacks are executed in an IoT topology composed of 105 devices. These attacks are classified into seven categories, namely DDoS, DoS, Recon, Web-based, brute force, spoofing, and Mirai. Finally, all attacks are executed by malicious IoT devices targeting other IoT devices. The dataset is available on the CIC Dataset website.
如今，物联网 (IoT) 概念在社会中扮演着关键角色，为不同行业带来了新的功能。物联网解决方案在交通和医疗等领域的数量正在增加，新的服务正在开发中。在过去的十年中，物联网连接数量急剧增加。事实上，物联网连接在未来几年将在不同领域中增长。相反，为了实现高效和安全的操作，仍需要面对一些挑战（例如互操作性、安全性和标准）。此外，尽管已经努力生成由针对物联网设备的攻击组成的数据集，但仍有一些可能的攻击未被考虑到。大多数现有工作都没有考虑到具有真实物联网设备的广泛网络拓扑。本研究的主要目标是提出一个新颖而广泛的物联网攻击数据集，以促进安全分析应用在真实物联网操作中的发展。为了实现这一目标，在由 105 个设备组成的物联网拓扑中执行了 33 种攻击。这些攻击被分为七类，即 DDoS、DoS、侦察、基于 Web 的、暴力破解、欺骗和 Mirai。最后，所有攻击都是由恶意物联网设备针对其他物联网设备发起的。该数据集可在 CIC 数据集网站上获取。
