A novel approach for handling missing data to enhance network intrusion detection system

QR Code

A novel approach for handling missing data to enhance network intrusion detection system

Managing missing data is a critical challenge in Intrusion Detection System (IDS) datasets, significantly affecting the performance of deep learning models. To address this issue, we introduce DeepLearning_Based_MissingData_Imputation (DMDI), a novel method designed to enhance the quality of input d...

Full description

Bibliographic Details
Main Authors:	Tahir, Mahjabeen, Abdullah, Azizol, Udzir, Nur Izura, Kasmiran, Khairul Azhar
Format:	Article
Language:	English
Published:	KeAi Communications 2025
Online Access:	http://psasir.upm.edu.my/id/eprint/120305/ http://psasir.upm.edu.my/id/eprint/120305/1/120305.pdf

Similar Items

A systematic review of machine learning and deep learning techniques for anomaly detection in data mining
by: Tahir, Mahjabeen, et al.
Published: (2025)

Enhanced mechanism to handle missing data of Hadith classifier
by: Aldhlan, Kawther A., et al.
Published: (2011)

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

Signature-based anomaly intrusion detection using integrated data mining classifiers
by: Yassin, Warusia, et al.
Published: (2014)

A cloud-based intrusion detection service framework.
by: Yassin, Warusia, et al.
Published: (2012)

A naturally inspired statistical intrusion detection model
by: Mahboubian, Mohammad, et al.
Published: (2013)

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

Overcoming the challenges of data lack, leakage, and dimensionality in intrusion detection systems: a comprehensive review
by: Abdullah, Azizol, et al.
Published: (2024)

A detailed description on unsupervised heterogeneous anomaly based intrusion detection framework
by: Udzir, Nur Izura, et al.
Published: (2019)

An empirical assessment of ML models for 5G network intrusion detection: a data leakage-free approach
by: Bouke, Mohamed Aly, et al.
Published: (2024)

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

Effective mining on large databases for intrusion detection
by: Adinehnia, Reza, et al.
Published: (2014)

KM-NEU: an efficient hybrid approach for intrusion detection system
by: Lisehroodi, Mazyar Mohammadi, et al.
Published: (2014)

A model for processing skyline queries over a database with missing data
by: Alwan, Ali Amer, et al.
Published: (2015)

A model for processing skyline queries over a database with missing data
by: Alwan, Ali Amer, et al.
Published: (2015)

Intrusion detection based on k-means clustering and OneR classification
by: Muda, Zaiton, et al.
Published: (2011)

Intrusion detection based on K-means clustering and Naïve Bayes classification
by: Muda, Zaiton, et al.
Published: (2011)

A Review on feature selection and ensemble techniques for intrusion detection system
by: Torabi, Majid, et al.
Published: (2021)

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

A K-Means and Naive Bayes learning approach for better intrusion detection
by: Muda, Zaiton, et al.
Published: (2011)

Siren songs: a novel sonification method for network traffic and intrusion detection
by: Skarth-Hayley, Luke
Published: (2017)

Methods for handling missing data in serially sampled sputum specimens for mycobacterial culture conversion calculation
by: Malatesta, S., et al.
Published: (2022)

Towards robust and efficient intrusion detection in IoMT: a deep learning approach addressing data leakage and enhancing model generalizability
by: Bouke, Mohamed Aly, et al.
Published: (2024)

Application of BukaGini algorithm for enhanced feature interaction analysis in intrusion detection systems
by: Bouke, Mohamed Aly, et al.
Published: (2024)

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

A novel Intrusion Detection System by using intelligent data mining in WEKA environment
by: Mohammed, Muamer N., et al.
Published: (2011)

Anomaly-based intrusion detection through K-means clustering and naives Bayes classification
by: Mohamed Yassin, Warusia, et al.
Published: (2013)

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

IDPS: an integrated intrusion handling model for cloud computing environment
by: Alsafi, Hassen Mohammed, et al.
Published: (2012)

User-independent and self-optimizing intrusion detection framework for large database systems
by: Adinehnia, Reza, et al.
Published: (2014)

Evaluating A New Adaptive Group Lasso Imputation Technique For Handling Missing Values In Compositional Data
by: Tian, Ying
Published: (2024)

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

Missing values estimation for skylines in incomplete database
by: Alwan, Ali, et al.
Published: (2018)

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

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

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

E2IDS: an enhanced intelligent intrusion detection system based on decision tree algorithm
by: Bouke, Mohamed Aly, et al.
Published: (2022)

A novel energy-efficient sybil node detection algorithm for intrusion detection system in wireless sensor networks
by: Karuppiah, A. Babu, et al.
Published: (2014)

Estimating missing values of skylines in incomplete database
by: Alwan, Ali A., et al.
Published: (2013)

An empirical study of pattern leakage impact during data preprocessing on machine learning-based intrusion detection models reliability
by: Bouke, Mohamed Aly, et al.
Published: (2023)