A systematic literature review of IoT time series anomaly detection solutions

A Sgueglia, A Di Sorbo, CA Visaggio… - Future Generation …, 2022 - Elsevier
The rapid spread of the Internet of Things (IoT) devices has prompted many people and
companies to adopt the IoT paradigm, as this paradigm allows the automation of several …

PPSF: A privacy-preserving and secure framework using blockchain-based machine-learning for IoT-driven smart cities

P Kumar, R Kumar, G Srivastava… - … on Network Science …, 2021 - ieeexplore.ieee.org
With the evolution of the Internet of Things (IoT), smart cities have become the mainstream of
urbanization. IoT networks allow distributed smart devices to collect and process data within …

Security and privacy-enhanced federated learning for anomaly detection in IoT infrastructures

L Cui, Y Qu, G ** review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city …
H Xu, F Omitaomu, S Sabri, S Zlatanova, X Li, Y Song - Urban Informatics, 2024 - Springer
The digital transformation of modern cities by integrating advanced information,
communication, and computing technologies has marked the epoch of data-driven smart city …

Design of intrusion detection system based on cyborg intelligence for security of cloud network traffic of smart cities

EM Onyema, S Dalal, CAT Romero, B Seth… - Journal of Cloud …, 2022 - Springer
Abstract The Internet of things (IoT) is an important technology that is highly beneficial in
establishing smart items, connections and cities. However, there are worries regarding …

A GRU deep learning system against attacks in software defined networks

MVO Assis, LF Carvalho, J Lloret… - Journal of Network and …, 2021 - Elsevier
The management of modern network environments is becoming more and more complex
due to new requirements of devices' heterogeneity regarding the popularization of the …

An ensemble deep federated learning cyber-threat hunting model for Industrial Internet of Things

AN Jahromi, H Karimipour, A Dehghantanha - Computer Communications, 2023 - Elsevier
Abstract Industrial Internet of Things (IIoT) is an emerging technology with prompt evolution
in diverse applications, including critical infrastructure. While the increasing number of IIoT …

A multiple-kernel clustering based intrusion detection scheme for 5G and IoT networks

N Hu, Z Tian, H Lu, X Du, M Guizani - International Journal of Machine …, 2021 - Springer
The 5G network provides higher bandwidth and lower latency for edge IoT devices to access
the core business network. But at the same time, it also expands the attack surface of the …

A Novel, Efficient, and Secure Anomaly Detection Technique Using DWU‐ODBN for IoT‐Enabled Multimedia Communication Systems

M Sathya, M Jeyaselvi, L Krishnasamy… - Wireless …, 2021 - Wiley Online Library
The Internet of Things (IoT) is enhancing our lives in a variety of structures, which consists of
smarter cities, agribusiness, and e‐healthcare, among others. Even though the Internet of …

Intelligent bearing anomaly detection for industrial Internet of Things based on auto-encoder Wasserstein generative adversarial network

R Liu, D **ao, D Lin, W Zhang - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Bearing anomaly detection plays a crucial role in modern industries as most rotating
machinery faults are attributed to faulty bearings. However, acquiring fault samples in …