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Title	An Alert And Detection System For Cyber-Attacks On Iot Devices
ID_Doc	7460
Authors	Arun Raj V.; Mohamed Arshad M.; Mathew F.
Year	2023
Published	Handbook of Research on Network-Enabled IoT Applications for Smart City Services
DOI	http://dx.doi.org/10.4018/979-8-3693-0744-1.ch011
Abstract	The internet of things (IoT) is still in its early stages, but it has sparked interest in a wide range of industries, including healthcare, logistics tracking, smart cities, and transportation. However, it is also vulnerable to a variety of serious network infiltration concerns. This chapter contributes to attack detection and alert system for IoT networks. This system provides alert and detection of cyber-attacks at the router level by configuring Rpi as a wireless router for IoT network. For the detection method, the authors used an anomaly-based approach that learns the packets in the network using deep learning. IoTID20 dataset is used for training the deep learning model. This model detects four kinds of attack: DoS, MITM, port scan, and scan. When the attack is detected, the user is alerted via e-mail and SMS. Copyright © 2023 by IGI Global.
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