A Deep Anomaly Detection System for IoT-Based Smart Buildings
In recent years, technological advancements in sensor, communication, and data storage
technologies have led to the increasingly widespread use of smart devices in different types …
technologies have led to the increasingly widespread use of smart devices in different types …
Iot anomaly detection to strengthen cybersecurity in the critical infrastructure of smart cities
This study addresses anomaly detection in smart city environments driven by the Internet of
Things. In these cities, digital interconnection and the extensive network of sensors generate …
Things. In these cities, digital interconnection and the extensive network of sensors generate …
Toward a full exploitation of IoT in smart cities: A review of IoT anomaly detection techniques
The world is currently progressing towards a new connectivity era where billions of sensors
are connected over a network called the Internet of Things (IoT). IoT enables a wide range of …
are connected over a network called the Internet of Things (IoT). IoT enables a wide range of …
Proposed Model for Real-Time Anomaly Detection in Big IoT Sensor Data for Smart City.
A smart city represents an advanced urban environment that utilizes digital technologies to
improve the well-being of residents, efficiently manage urban operations, and prioritize long …
improve the well-being of residents, efficiently manage urban operations, and prioritize long …
Study of autoencoder neural networks for anomaly detection in connected buildings
A Legrand, B Niepceron, A Cournier… - 2018 IEEE Global …, 2018 - ieeexplore.ieee.org
Nowadays, buildings are equipped with safety devices, to prevent and identify critical
events, such as fires using smoke detection devices or intrusions using alarm systems. The …
events, such as fires using smoke detection devices or intrusions using alarm systems. The …
BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems
The Internet of Things (IoT) technology has shown to offer promising benefits in various
domains, including smart cities, smart factories, and smart manufacturing. However, the …
domains, including smart cities, smart factories, and smart manufacturing. However, the …
A federated learning approach to anomaly detection in smart buildings
Internet of Things (IoT) sensors in smart buildings are becoming increasingly ubiquitous,
making buildings more livable, energy efficient, and sustainable. These devices sense the …
making buildings more livable, energy efficient, and sustainable. These devices sense the …
Catboosting approach for anomaly detection in iot-based smart home environment
With the advances in technology, IoT devices have become an integral part of our daily lives
due to their rapid expansion and deployment. As the IoT devices communicate continuously …
due to their rapid expansion and deployment. As the IoT devices communicate continuously …
Anomaly detection on IoT data for smart city
Smart Cities are probably on the more complex environment for IOT data collection. IOT data
could have different producers, sample rates, periodic and aperiodic, typical trends …
could have different producers, sample rates, periodic and aperiodic, typical trends …
Anomaly detection framework for IoT-enabled appliances using machine learning
Addressing the contemporary complexity inherent in anomaly detection within
heterogeneous systems is paramount. This paper presents a novel methodology tailored to …
heterogeneous systems is paramount. This paper presents a novel methodology tailored to …