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

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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Bibliographic Details
Main Author: Muhammad Usama Tanveer (22225360) (author)
Other Authors: Kashif Munir (6182237) (author), Madiha Amjad (20036518) (author), Syed Ali Jafar Zaidi (22225363) (author), Amine Bermak (1895947) (author), Atiq Ur Rehman (8843024) (author)
Published: 2024
Subjects:
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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