A Deep Anomaly Detection System for IoT-Based Smart Buildings

S Cicero, M Guarascio, A Guerrieri, S Mungari - Sensors, 2023 - mdpi.com
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 …

Iot anomaly detection to strengthen cybersecurity in the critical infrastructure of smart cities

W Villegas-Ch, J Govea, A Jaramillo-Alcazar - Applied Sciences, 2023 - mdpi.com
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 …

Toward a full exploitation of IoT in smart cities: A review of IoT anomaly detection techniques

R Al-Amri, RK Murugesan, EM Alshari… - … Conference on Emerging …, 2022 - Springer
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 …

Proposed Model for Real-Time Anomaly Detection in Big IoT Sensor Data for Smart City.

Z Hasani, S Krrabaj, M Krasniqi - International Journal of …, 2024 - search.ebscohost.com
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 …

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 …

BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems

N Milosevic, D Jakovetic, S Skrbic… - 2022 30th European …, 2022 - ieeexplore.ieee.org
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 …

A federated learning approach to anomaly detection in smart buildings

RA Sater, AB Hamza - ACM Transactions on Internet of Things, 2021 - dl.acm.org
Internet of Things (IoT) sensors in smart buildings are becoming increasingly ubiquitous,
making buildings more livable, energy efficient, and sustainable. These devices sense the …

Catboosting approach for anomaly detection in iot-based smart home environment

DKK Reddy, HS Behera - … Intelligence in Data Mining: Proceedings of …, 2022 - Springer
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 …

Anomaly detection on IoT data for smart city

P Bellini, D Cenni, P Nesi… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
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 …

Anomaly detection framework for IoT-enabled appliances using machine learning

MA Siddiqui, CR Krishna, M Kalra - Cluster Computing, 2024 - Springer
Addressing the contemporary complexity inherent in anomaly detection within
heterogeneous systems is paramount. This paper presents a novel methodology tailored to …