A Hybrid PCA-MAO Based LSTM Model for Intrusion Detection in IoT Environments

H Karamollaoğlu, İ Yücedağ, İA Doğru - 2022 - researchsquare.com
With the rapid advances in Internet of Things (IoT) technologies, the number of smart objects
connected to IoT networks is increasing day by day. Parallel to this exponential growth …

Intrusion Detection System based on Chaotic Opposition for IoT Network

R Singh, RL Ujjwal - International journal of electrical and computer …, 2024 - hrcak.srce.hr
Sažetak The rapid advancement of network technologies and protocols has fueled the
widespread endorsement of the Internet of Things (IoT) in numerous domains, including …

Artificial Intelligence-Based Internet of Things Security

RC Goswami, H Joshi, S Gautam - Machine Learning and Metaheuristics …, 2023 - Springer
Abstract Internet of Things (IoT) is a network of interconnected, web-connected devices that
can collect and transmit data across a wireless network without requiring human contact …

Methods of anomaly detection for the prevention and detection of cyber attacks

N Girubagari, TN Ravi - International Journal of Intelligent …, 2023 - inderscienceonline.com
The idea of the'smart city'has developed in response to the issues brought on by the rapid
growth in urbanisation and population. Smart cities are interconnected. IoT and big data …

Deep Learning-based DDoS Detection in Network Traffic Data

T Hussein - International journal of electrical and computer …, 2024 - hrcak.srce.hr
Sažetak In today's society, the cloud is essential for communication since it allows access to
important information anytime and anywhere. However, cloud services also attract hackers …

Attack Detection in IoT Using Machine Learning—A Survey

SA Haifa Ali, J Vakula Rani - … on Intelligent Cyber Physical Systems and …, 2022 - Springer
In the last decade, the İnternet Of Things (IoT) increased dramatically until it became an
integral part of our daily lives. These devices are interconnected to the internet without the …

Feedforward Mutual-Information Anomaly Detection: Application to Autonomous Vehicles

SM McKee, OS Haddadin… - Journal of …, 2022 - asmedigitalcollection.asme.org
This paper describes a mutual-information (MI)-based approach that exploits a dynamics
model to quantify and detect anomalies for applications such as autonomous vehicles. First …

An Adaptive Anomaly Detection and Fault Diagnosis in Wind Turbine

S Suliaman, N Salam - 2021 IEEE International Women in …, 2021 - ieeexplore.ieee.org
In recent days, Condition Monitoring is the process of monitoring a parameter of condition in
a wind turbine, in order to identify a significant change that is indicative of a developing fault …

[PDF][PDF] Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic

Y Ali, HU Khan, M Khalid - 2023 - journalofbigdata.springeropen.com
Abstract Internet of Things (IoT) driven systems have been sharply growing in the recent
times but this evolution is hampered by cybersecurity threats like spoofing, denial of service …

Detecting the Anomaly Attacks in Industrial IoT using Hybrid Feature Selection Based Modified Convolutional Neural Network

S Rallapalli, VK Tiwari, VS SD… - … Algorithms and Soft …, 2023 - ieeexplore.ieee.org
When it comes to digitally transforming classic sectors towards Industry 4.0, the Industrial
Internet of Things (IIoT) is crucial. The IIoT improves the efficiency and productivity of …