[HTML][HTML] IoT anomaly detection methods and applications: A survey

A Chatterjee, BS Ahmed - Internet of Things, 2022 - Elsevier
Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly
expanding field. This growth necessitates an examination of application trends and current …

Intelligent approaches toward intrusion detection systems for Industrial Internet of Things: A systematic comprehensive review

M Nuaimi, LC Fourati, BB Hamed - Journal of Network and Computer …, 2023 - Elsevier
Recently years, we have seen the exponential upgrowth of the Industrial Internet of Things
(IIoT), which brings significant benefits to our daily lives, industry, and society. The common …

Tsmae: a novel anomaly detection approach for internet of things time series data using memory-augmented autoencoder

H Gao, B Qiu, RJD Barroso, W Hussain… - … on network science …, 2022 - ieeexplore.ieee.org
With the development of communication, the Internet of Things (IoT) has been widely
deployed and used in industrial manufacturing, intelligent transportation, and healthcare …

Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection

H Ding, L Chen, L Dong, Z Fu, X Cui - Future Generation Computer Systems, 2022 - Elsevier
With the continuous emergence of various network attacks, it is becoming more and more
important to ensure the security of the network. Intrusion detection, as one of the important …

[HTML][HTML] Deep learning-based intrusion detection for distributed denial of service attack in agriculture 4.0

MA Ferrag, L Shu, H Djallel, KKR Choo - Electronics, 2021 - mdpi.com
Smart Agriculture or Agricultural Internet of things, consists of integrating advanced
technologies (eg, NFV, SDN, 5G/6G, Blockchain, IoT, Fog, Edge, and AI) into existing farm …

A long short‐term memory‐based model for greenhouse climate prediction

Y Liu, D Li, S Wan, F Wang, W Dou, X Xu… - … Journal of Intelligent …, 2022 - Wiley Online Library
Greenhouses can grow many off‐season vegetables and fruits, which improves people's
quality of life. Greenhouses can also help crops resist natural disasters and ensure the …

[HTML][HTML] Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach

L Tan, K Yu, AK Bashir, X Cheng, F Ming… - Neural Computing and …, 2023 - Springer
Patients with deaths from COVID-19 often have co-morbid cardiovascular disease. Real-
time cardiovascular disease monitoring based on wearable medical devices may effectively …

Variational few-shot learning for microservice-oriented intrusion detection in distributed industrial IoT

W Liang, Y Hu, X Zhou, Y Pan, I Kevin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Along with the popularity of the Internet of Things (IoT) techniques with several
computational paradigms, such as cloud and edge computing, microservice has been …

[HTML][HTML] A hybrid CNN+ LSTM-based intrusion detection system for industrial IoT networks

HC Altunay, Z Albayrak - … Science and Technology, an International Journal, 2023 - Elsevier
Abstract The Internet of Things (IoT) ecosystem has proliferated based on the use of the
internet and cloud-based technologies in the industrial area. IoT technology used in the …

[HTML][HTML] Consensus mechanism for software-defined blockchain in internet of things

R Huang, X Yang, P Ajay - Internet of Things and Cyber-Physical Systems, 2023 - Elsevier
This article aims to discuss the consensus mechanism of software-defined blockchain in the
Internet of Things, analyze the characteristics of the traditional consensus mechanism …