IoT-CAD: Context-aware adaptive anomaly detection in IoT systems through sensor association

R Yasaei, F Hernandez, MAA Faruque - Proceedings of the 39th …, 2020 - dl.acm.org
The deployment of Internet of Things (IoT) devices in cyber-physical applications has
introduced a new set of vulnerabilities. The new security and reliability challenges require a …

Anomaly behavior analysis for IoT sensors

J Pacheco, S Hariri - Transactions on Emerging …, 2018 - Wiley Online Library
Abstract The Internet of Things (IoT) will not only connect computers and mobile devices but
also interconnect smart buildings, homes, and cities, as well as electrical grids, gas, and …

An anomaly mitigation framework for iot using fog computing

MA Lawal, RA Shaikh, SR Hassan - Electronics, 2020 - mdpi.com
The advancement in IoT has prompted its application in areas such as smart homes, smart
cities, etc., and this has aided its exponential growth. However, alongside this development …

Anomaly detection at the IoT edge using deep learning

D Utomo, PA Hsiung - 2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
Irregularities in the use of electrical energy could result in failure of power grids and
blackouts. Anomaly detection is required not only for ensuring grid safety, but also to prevent …

An energy-efficient and trustworthy unsupervised anomaly detection framework (EATU) for IIoT

Z Huang, Y Wu, N Tempini, H Lin, H Yin - ACM Transactions on Sensor …, 2022 - dl.acm.org
Many anomaly detection techniques have been adopted by Industrial Internet of Things
(IIoT) for improving self-diagnosing efficiency and infrastructures security. However, they are …

Anomaly behavior analysis for IoT network nodes

J Pacheco, V Benitez, L Félix - … of the 3rd International Conference on …, 2019 - dl.acm.org
The Internet of Things (IoT) will connect not only computers and mobile devices, but it will
also interconnect smart buildings, homes, and cities. The integration of IoT with Fog and …

Self-supervised online and lightweight anomaly and event detection for IoT devices

M Abououf, R Mizouni, S Singh… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The increasing number of Internet of Things (IoT) devices and low-cost sensors have
facilitated developments in large-scale monitoring applications. However, the accuracy of …

A comprehensive study of anomaly detection schemes in IoT networks using machine learning algorithms

A Diro, N Chilamkurti, VD Nguyen, W Heyne - Sensors, 2021 - mdpi.com
The Internet of Things (IoT) consists of a massive number of smart devices capable of data
collection, storage, processing, and communication. The adoption of the IoT has brought …

CurrentSense: A novel approach for fault and drift detection in environmental IoT sensors

S Marathe, A Nambi, M Swaminathan… - Proceedings of the …, 2021 - dl.acm.org
Sensor data quality plays a fundamental role in increasing the adoption of IoT devices for
environmental data collection. Due to the nature of the deployment, ie, in-the-wild and in …

Anomaly Detection Framework in Fog-to-Things Communication for Industrial Internet of Things.

T Alatawi, A Aljuhani - Computers, Materials & Continua, 2022 - search.ebscohost.com
The rapid development of the Internet of Things (IoT) in the industrial domain has led to the
new term the Industrial Internet of Things (IIoT). The IIoT includes several devices …