Detection model for ambiguous intrusion using SMOTE and LSTM for Network Security

QR Code

Detection model for ambiguous intrusion using SMOTE and LSTM for Network Security

In today's interconnected world, networks play a crucial role. Consequently, network security has become increasingly vital. To ensure network security, various methods are employed, including digital signatures, firewalls, and intrusion detection. Among these methods, intrusion detection syste...

Full description

Bibliographic Details
Main Authors:	Khalaf, Al-Ogaidi Ali Hameed, Mohamed, Raihani, Raziff, Abdul Rafiez Abdul
Format:	Article
Language:	English
Published:	Semarak Ilmu Publishing 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/106131/ http://psasir.upm.edu.my/id/eprint/106131/1/document.pdf

Similar Items

Smote and OVO multiclass method for multiple handheld placement gait identification on smartphone’s accelerometer
by: Abdul Raziff, Abdul Rafiez, et al.
Published: (2017)

Anomaly network intrusion detection method in network security based on principle component analysis
by: Chimphlee, Witcha, et al.
Published: (2006)

Improved class binarization model with data oversampling in gait recognition
by: Abdul Raziff, Abdul Rafiez
Published: (2019)

Discovering and recognizing of imbalance human activity in healthcare monitoring using hybrid SMOTE Tomek technique and decision tree model
by: Mohamed, Raihani, et al.
Published: (2024)

Intrusion detection security system with IOT sensors
by: Chean, Vernon Lynn Chii
Published: (2021)

Collaborative Security Mechanism in Detecting Intrusion Activity
by: Abdollah, M. F., et al.
Published: (2010)

Time Based Intrusion Detection on Fast Attack for Network Intrusion Detection System
by: Abdollah, M. F., et al.
Published: (2010)

Intrusion detection and prevention in wireless sensor networks
by: Abduvaliyev, Abror, et al.
Published: (2013)

Network intrusion detection and alert system
by: To, Jin Yi
Published: (2024)

A novel local network intrusion detection system based on support vector machine
by: Mohammed, Muamer N., et al.
Published: (2011)

Integration of CNN and LSTM networks for behavior feature recognition: an analysis
by: Aris, Teh Noranis Mohd, et al.
Published: (2024)

A super-peer architecture to improve intrusion detection and scalability in collaborative intrusion detection network
by: Bakhdlaghi, Yousef Abdullah
Published: (2020)

Intrusion detection system in secure shell traffic in cloud environment
by: Barati, Mehdi, et al.
Published: (2014)

Optimising LSTM and BiLSTM models for time series forecasting through hyperparameter tuning
by: Nur Haizum, Abd Rahman, et al.
Published: (2025)

A novel BiGRUBiLSTM model for Multilevel Sentiment Analysis Using Deep Neural Network with BiGRU-BiLSTM
by: Islam, Md Shofiqul, et al.
Published: (2021)

LSTM recurrent neural network classifier for high impedance fault detection in solar PV integrated power system
by: Veerasamy, Veerapandiyan, et al.
Published: (2021)

Methods of intrusion detection in information security incident detection: a comparative study
by: Tan, Fui Bee, et al.
Published: (2018)

Hybrid Biological Intrusion Prevention and Selfhealing System for Network Security
by: Muna, Elsadig, et al.
Published: (2010)

Biological Intrusion Prevention and Self-Healing Model for Network Security
by: Muna, Elsadig, et al.
Published: (2010)

Investigating Supervised Neural Networks to Intrusion Detection
by: Iftikhar , Ahmad, et al.
Published: (2010)

An intrusion detection system (IDS) for internet network
by: Safiee, Mohd. Fauzan
Published: (2007)

An overview of neural networks use in anomaly intrusion detection systems
by: Sani, Yusuf, et al.
Published: (2009)

Hyperspectral image classification by integrating attention-based LSTM and hybrid spectral networks
by: Ahmed AL-Kubaisi, Mohammed, et al.
Published: (2022)

SMOTE-PCADBSCAN: a novel approach for addressing class imbalance in water quality prediction
by: Norashikin Nasaruddin,, et al.
Published: (2025)

Feature Selection for Detecting Fast Attack in Network Intrusion Detection
by: Abdollah, M. F., et al.
Published: (2008)

Real time end-to-end glass break detection system using LSTM deep recurrent neural network
by: Nyein Naing, Wai Yan, et al.
Published: (2019)

On the vital areas of intrusion detection systems in wireless sensor networks
by: Abduvaliyev, Abror, et al.
Published: (2012)

Bio Inspired Intrusion Prevention and Self-healing Architecture for Network Security
by: Muna , Elsadig, et al.

Intrusion detection models using enhanced denoising autoencoders and lightgbm classifier with improved detection performance
by: Sheikh, Abdul Hameed
Published: (2023)

Nonlinear Chemical Process Monitoring And Fault Detection Based On Modified Lstm Model
by: Zambri, Muhammad Ridzuan
Published: (2022)

A Feature Selection Approach for Network Intrusion Detection
by: Khor, Kok-Chin, et al.
Published: (2009)

Energy-efficient intrusion detection in wireless sensor network
by: Salehian, Solmaz, et al.
Published: (2012)

Evaluating oversampling techniques for network intrusion detection data
by: Chan, Jia Lin
Published: (2022)

Threshold Verification Technique for Network Intrusion Detection System
by: Abdollah, M. F., et al.
Published: (2009)

Design and development of network intrusion detection system detection scheme on network processing unit
by: Robin Salim,, et al.
Published: (2006)

Metaheuristic-Based Neural Network Training And Feature Selector For Intrusion Detection
by: Ghanem, Waheed Ali Hussein Mohammed
Published: (2019)

Intrusion-Detection System Based on Fast Learning Network in Cloud Computing
by: Mohammed Hasan, Ali, et al.
Published: (2018)

Automated intrusion prevention mechanism in enhancing network security / He Xiao Dong
by: He , Xiao Dong
Published: (2008)

Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System
by: Ali, Mohammed Hasan, et al.
Published: (2019)

Addressing imbalance in health datasets: A new method NR-clustering SMOTE and distance metric modification
by: Hairani, Hairani, et al.
Published: (2025)