Robust Botnet Detection Approach for Known and Unknown Attacks in IoT Networks Using Stacked Multi-classifier and Adaptive Thresholding

The detection of security attacks holds significant importance in IoT networks, primarily due to the escalating number of interconnected devices and the sensitive nature of the transmitted data. This paper introduces a novel methodology designed to identify both known and unknown attacks within IoT...

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Veröffentlicht in:	Arabian journal for science and engineering (2011) 2024, Vol.49 (9), p.12561-12577
Hauptverfasser:	Krishnan, Deepa, Shrinath, Pravin
Format:	Artikel
Sprache:	eng
Schlagworte:	Datasets Engineering Error analysis Error detection Feature recognition Humanities and Social Sciences Learning vector quantization networks Malware multidisciplinary Networks Resampling Research Article-Computer Engineering and Computer Science Science Security
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