Behavioural Monitoring and Security Profiling in the Internet of Things (IoT)

Safi, Miraqa; Kaur, Barjinder Pal; Dadkhah, Sajjad; Shoeleh, Farzaneh; Lashkari, Arash Habibi; Molyneaux, Heather; Ghorbani, Ali A.

doi:10.1109/hpcc-dss-smartcity-dependsys53884.2021.00185

Cited by 5 publications

(1 citation statement)

References 15 publications

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“…This new paradigm relies on an extensively connected sensors and actuators network with multiple devices producing network traffic [6][7][8]. Research and industrial communities have been evolving this concept for years, and these devices are becoming more present in our daily lives [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment

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Dadkhah

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et al. 2023

Sensors

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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.

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