… 2, we present an overview of smart environments and intrusion detection approaches
and we cite a related works of IDS that integrate ML and DL to secure IoT environments. The …

… a popular technique within the smart environment paradigm. Nevertheless, the use … ensemble
method as a new solution for the purposes of activity recognition within smart environments…

… A variety of ML, ensemble learning, and DL techniques have … -based smart environments
that employs ensemble learning to … typically incorporates an optimal ensemble-based intrusion …

… , the experiments performed in this study are not only conducted in multi-resident environment
but also on the latest promising technology of smart home with Wireless Sensor Network. …

… approach for anomaly detection in an IoT smart home environment. … multiple other ensemble
learning algorithms. Finally, we intend to test the method on a real-world IoT environment in …

… In recent decades, sensor networks have monitored and controlled a significant portion of
smart … 1 depicts a typical critical infrastructure in a smart city environment. A 2019 report by the …

… This study presents an ensemble-learning-based system for detecting energy … -learning-based
ensemble model based on a majority voting strategy. This work aims to develop a smart-…

… The core concept of smart home environments is to collect information about their residents
through an array of sensors in order to provide actionable insights about their behavior. The …

… In Section 2, we explain related works of deep learning and ensemble learning in HAR
research. We describe key issues of previous work in collaborative environments in Section 3 …

… However, the massive deployment of IoT networks and their usage in critical domains such
as smart housing, smart transportation, and e-health, results in the generation of abundant …