Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset

<p dir="ltr">The rapid increase in the number of IoT devices has made ensuring robust real-time attack detection more critical than ever. The volume of data being accessed in real-time by these devices presents unique security challenges that traditional detection techniques struggle...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Muhammad Usama Tanveer (22225360) (author)
مؤلفون آخرون:	Kashif Munir (6182237) (author), Madiha Amjad (20036518) (author), Syed Ali Jafar Zaidi (22225363) (author), Amine Bermak (1895947) (author), Atiq Ur Rehman (8843024) (author)
منشور في:	2024
الموضوعات:	Information and computing sciences Artificial intelligence Cybersecurity and privacy Data management and data science Machine learning Ensemble-guard IoT ensemble learning cybersecurity machine learning and real time attack detection Internet of Things Real-time systems Telecommunication traffic Object recognition Botnet Bayes methods Adaptation models
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Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset

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