Design and Development of RNN Anomaly Detection Model for IoT Networks

Design and Development of RNN Anomaly Detection Model for IoT Networks

Cybersecurity is important today because of the increasing growth of the Internet of Things (IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber security has become an increasingly difficult issue to manage as various IoT devices and services grow. Malicious traf...

Full description

Bibliographic Details
Main Authors:	Imtiaz Ullah, Qusay H. Mahmoud
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Series:	IEEE Access
Subjects:	Internet of Things anomaly detection recurrent neural network convolutional neural network LSTM BiLSTM
Online Access:	https://ieeexplore.ieee.org/document/9777970/

Similar Items

Unleashing the power of Bat optimized CNN-BiLSTM model for advanced network anomaly detection: Enhancing security and performance in IoT environments
by: Franciskus Antonius, et al.
Published: (2023-12-01)

Advancing Phishing Email Detection: A Comparative Study of Deep Learning Models
by: Najwa Altwaijry, et al.
Published: (2024-03-01)

Real-Time Neural Classifiers for Sensor and Actuator Faults in Three-Phase Induction Motors
by: Oscar D. Sanchez, et al.
Published: (2022-12-01)

An abnormal traffic detection method using GCN-BiLSTM-Attention in the internet of vehicles environment
by: Xueli Wang, et al.
Published: (2023-07-01)

Practical Study of Recurrent Neural Networks for Efficient Real-Time Drone Sound Detection: A Review
by: Dana Utebayeva, et al.
Published: (2022-12-01)

A Framework for Anomaly Detection in IoT Networks Using Conditional Generative Adversarial Networks
by: Imtiaz Ullah, et al.
Published: (2021-01-01)

A Sentiment Analysis Method of Capsule Network Based on BiLSTM
by: Yongfeng Dong, et al.
Published: (2020-01-01)

A Combined Model Based on Recurrent Neural Networks and Graph Convolutional Networks for Financial Time Series Forecasting
by: Ana Lazcano, et al.
Published: (2023-01-01)

Solar Irradiation Prediction Hybrid Framework Using Regularized Convolutional BiLSTM-Based Autoencoder Approach
by: Madderla Chiranjeevi, et al.
Published: (2023-01-01)

Urban Traffic Flow Estimation System Based on Gated Recurrent Unit Deep Learning Methodology for Internet of Vehicles
by: Abdul Hussain Ali Hussain, et al.
Published: (2023-01-01)

Anomaly detection in stock market indices with neural networks
by: Lucian Liviu Albu, et al.
Published: (2020-12-01)

Towards a Hybrid Deep Learning Model for Anomalous Activities Detection in Internet of Things Networks
by: Imtiaz Ullah, et al.
Published: (2021-07-01)

Deep Learning-Based Time-Series Analysis for Detecting Anomalies in Internet of Things
by: Saroj Gopali, et al.
Published: (2022-10-01)

ABiLSTM Based Prediction Model for AUV Trajectory
by: Jianzeng Liu, et al.
Published: (2023-06-01)

A Robust Voice Pathology Detection System Based on the Combined BiLSTM–CNN Architecture
by: Rimah Amami, et al.
Published: (2023-12-01)

Research on Anomaly Detection of Wind Farm SCADA Wind Speed Data
by: Wu Wen, et al.
Published: (2022-08-01)

Deep Learning Algorithm Classifies Heartbeat Events Based on Electrocardiogram Signals
by: Yongbo Liang, et al.
Published: (2020-10-01)

Comparison of machine learning and deep learning techniques for the prediction of air pollution: a case study from China
by: Ishan Ayus, et al.
Published: (2023-05-01)

Modelling of Deep Learning-Based Downscaling for Wave Forecasting in Coastal Area
by: Didit Adytia, et al.
Published: (2023-01-01)

Hybrid Deep Learning Approach for Stress Detection Using Decomposed EEG Signals
by: Bishwajit Roy, et al.
Published: (2023-06-01)

Malware Detection in Internet of Things (IoT) Devices Using Deep Learning
by: Sharjeel Riaz, et al.
Published: (2022-11-01)

RNN-BiLSTM-CRF based amalgamated deep learning model for electricity theft detection to secure smart grids
by: Aqsa Khalid, et al.
Published: (2024-02-01)

Intelligent Tool Wear Monitoring Method Using a Convolutional Neural Network and an Informer
by: Xingang Xie, et al.
Published: (2023-09-01)

Medical named entity recognition based on dilated convolutional neural network
by: Ruoyu Zhang, et al.
Published: (2022-01-01)

Protection of Superconducting Industrial Machinery Using RNN-Based Anomaly Detection for Implementation in Smart Sensor
by: Maciej Wielgosz, et al.
Published: (2018-11-01)

Design and Development of a Deep Learning-Based Model for Anomaly Detection in IoT Networks
by: Imtiaz Ullah, et al.
Published: (2021-01-01)

Protein–Protein Interaction Network Extraction Using Text Mining Methods Adds Insight into Autism Spectrum Disorder
by: Leena Nezamuldeen, et al.
Published: (2023-10-01)

A Deep Learning Approach for Atrial Fibrillation Classification Using Multi-Feature Time Series Data from ECG and PPG
by: Bader Aldughayfiq, et al.
Published: (2023-07-01)

Open-Circuit Fault Detection and Classification of Modular Multilevel Converters in High Voltage Direct Current Systems (MMC-HVDC) with Long Short-Term Memory (LSTM) Method
by: Qinghua Wang, et al.
Published: (2021-06-01)

The intelligent football players’ motion recognition system based on convolutional neural network and big data
by: Xin Wang, et al.
Published: (2023-11-01)

An ensemble deep learning model for cyber threat hunting in industrial internet of things
by: Abbas Yazdinejad, et al.
Published: (2023-02-01)

Multi-Channel LSTM-Capsule Autoencoder Network for Anomaly Detection on Multivariate Data
by: Ayman Elhalwagy, et al.
Published: (2022-11-01)

CRSF: An Intrusion Detection Framework for Industrial Internet of Things Based on Pretrained CNN2D-RNN and SVM
by: Shiming Li, et al.
Published: (2023-01-01)

Future Activities Prediction Framework in Smart Homes Environment
by: Mai Mohamed, et al.
Published: (2022-01-01)

Ship Motion Attitude Prediction Based on an Adaptive Dynamic Particle Swarm Optimization Algorithm and Bidirectional LSTM Neural Network
by: Guoyin Zhang, et al.
Published: (2020-01-01)

Detecting Arabic Misinformation Using an Attention Mechanism-Based Model
by: Bashar AlEsawi, et al.
Published: (2024-02-01)

Cyberbullying Detection on Twitter Using Deep Learning-Based Attention Mechanisms and Continuous Bag of Words Feature Extraction
by: Suliman Mohamed Fati, et al.
Published: (2023-08-01)

Classifying Parasitized and Uninfected Malaria Red Blood Cells Using Convolutional-Recurrent Neural Networks
by: Adan Antonio Alonso-Ramirez, et al.
Published: (2022-01-01)

An imConvNet-based deep learning model for Chinese medical named entity recognition
by: Yuchen Zheng, et al.
Published: (2022-11-01)

A hybrid model for depression detection using deep learning
by: Vandana, et al.
Published: (2023-02-01)