2024
DOI: 10.15622/ia.23.6.10
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Synergistic Approaches to Enhance IoT Intrusion Detection: Balancing Features through Combined Learning

Chokkapu Narayanarao,
Venkateswara Rao Mandapati,
Bhaskara Rao Boddu

Abstract: The Internet of Things (IoT) plays a crucial role in ensuring security by preventing unauthorized access, malware infections, and malicious activities. IoT monitors network traffic as well as device behaviour to identify potential threats and take appropriate mitigation measures. However, there is a need for an IoT Intrusion Detection system with enhanced generalization capabilities, leveraging deep learning and advanced anomaly detection techniques. This study presents an innovative approach to IoT IDS that c… Show more

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