A review of Intrusion Detection Systems for the Internet of Things
Ammar Thabit Zahary, Nagi Ali Al-Shaibany, Axel Sikora · 2024
Over the years, the Internet of Things has brought significant benefits to modern society, lives, and industries; however, the technology used has yet to mature sufficiently to provide secure devices and communication. Recently, the number of connected devices rapidly grows, thus adversaries have more opportunities to gain access to IoT devices and use them to launch what is called large-scale attacks. With the rapid proliferation of Internet of Things (IoT) devices, the need for efficient and effective Intrusion Detection System (IDS) tailored for IoT environments has become increasingly paramount. This paper explores various techniques employed in contemporary IoT IDS, including traditional signature-based approaches like Snort and Bro/Zeek, as well as emerging deep learning-based methods.