Affiliation:
1. Mepco Schlenk Engineering College (Autonomous), Sivakasi, India
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.
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