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 …

Cascading failures in internet of things: review and perspectives on reliability and resilience

L Xing - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
In the Internet of Things (IoT), various devices operate collaboratively in collecting data,
relaying information to one another, and processing information intelligently. Due to …

IoT security in the era of ubiquitous computing: A multidisciplinary approach to addressing vulnerabilities and promoting resilience

OO Olaniyi, OJ Okunleye, SO Olabanji… - Asian Journal of …, 2023 - papers.ssrn.com
Abstract The Internet of Things (IoT) has rapidly become a pivotal, transformative force,
seamlessly integrating billions of physical devices through sophisticated networks of …

Deep learning-enabled anomaly detection for IoT systems

A Abusitta, GHS de Carvalho, OA Wahab, T Halabi… - Internet of Things, 2023 - Elsevier
Abstract Internet of Things (IoT) systems have become an intrinsic technology in various
industries and government services. Unfortunately, IoT devices and networks are known to …

A framework for anomaly detection and classification in Multiple IoT scenarios

F Cauteruccio, L Cinelli, E Corradini… - Future Generation …, 2021 - Elsevier
The investigation of anomalies is an important element in many scientific research fields. In
recent years, this activity has been also extended to social networking and social …

[HTML][HTML] Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness

G Bovenzi, G Aceto, D Ciuonzo, A Montieri… - Computers & …, 2023 - Elsevier
Abstract The Internet of Things (IoT) is a key enabler in closing the loop in Cyber-Physical
Systems, providing “smartness” and thus additional value to each monitored/controlled …

IoT vulnerability assessment for sustainable computing: threats, current solutions, and open challenges

P Anand, Y Singh, A Selwal, M Alazab, S Tanwar… - IEEE …, 2020 - ieeexplore.ieee.org
Over the last few decades, sustainable computing has been widely used in areas like social
computing, artificial intelligence-based agent systems, mobile computing, and Internet of …

Anomaly detection/prediction for the Internet of Things: State of the art and the future

XX Lin, P Lin, EH Yeh - IEEE Network, 2020 - ieeexplore.ieee.org
Anomaly detection/prediction is the first step to secure IoT systems. It usually relies on wide
domain knowledge to build up the tools to automatically detect/predict abnormal events or …

Edge‐based blockchain enabled anomaly detection for insider attack prevention in Internet of Things

YM Tukur, D Thakker, IU Awan - Transactions on Emerging …, 2021 - Wiley Online Library
Abstract Internet of Things (IoT) platforms are responsible for overall data processing in the
IoT System. This ranges from analytics and big data processing to gathering all sensor data …

Machine learning approaches for anomaly detection in IoT: an overview and future research directions

N Alghanmi, R Alotaibi, SM Buhari - Wireless Personal Communications, 2022 - Springer
The internet of things (IoT) is the networking of interrelated devices and sensors connected
through the internet to transfer and share data. The data gathered from these devices may …