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A Cloud Based Optimization Method for Zero-Day Threats Detection Using Genetic Algorithm and Ensemble Learning

https://doi.org/10.3390/electronics11111749

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Software‐defined networking security for private data center networks and clouds: Vulnerabilities, attacks, countermeasures, and solutions

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Network intrusion detection system: A systematic study of machine learning and deep learning approaches

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An Anomaly Intrusion Detection System Using C5 Decision Tree Classifier

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Genetic Search Wrapper-Based Naïve Bayes Anomaly Detection Model for Fog Computing Environment

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A Novel Anomaly Network Intrusion Detection System for Internet of Things Security

inferredcites →https://doi.org/10.1007/978-981-16-2641-8_57openalex-snapshot

A Multi-component-Based Zero Trust Model to Mitigate the Threats in Internet of Medical Things

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The Application of Cyclostationary Malware Detection Using Boruta and PCA

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Classifying Social Media Using Deep Packet Inspection Data

inferredcites →https://doi.org/10.1007/s10922-021-09589-6openalex-snapshot

AS-IDS: Anomaly and Signature Based IDS for the Internet of Things

inferredcites →https://doi.org/10.1016/j.comnet.2021.107840openalex-snapshot

Machine learning methods for cyber security intrusion detection: Datasets and comparative study

inferredcites →https://doi.org/10.1016/j.compeleceng.2022.107720openalex-snapshot

A LSTM-FCNN based multi-class intrusion detection using scalable framework

inferredcites →https://doi.org/10.1016/j.cose.2019.06.005openalex-snapshot

A survey of network-based intrusion detection data sets

inferredcites →https://doi.org/10.1016/j.cose.2020.101752openalex-snapshot

A deep learning method with wrapper based feature extraction for wireless intrusion detection system

inferredcites →https://doi.org/10.1016/j.eswa.2021.114885openalex-snapshot

Multi class SVM algorithm with active learning for network traffic classification

inferredcites →https://doi.org/10.1016/j.jnca.2012.09.004openalex-snapshot

Intrusion detection system: A comprehensive review

inferredcites →https://doi.org/10.1016/j.undsp.2021.12.003openalex-snapshot

Significance and methodology: Preprocessing the big data for machine learning on TBM performance

inferredcites →https://doi.org/10.1093/cybsec/tyz003openalex-snapshot

Ransomware payments in the Bitcoin ecosystem

inferredcites →https://doi.org/10.1109/access.2017.2762418openalex-snapshot

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

inferredcites →https://doi.org/10.1109/access.2020.2982418openalex-snapshot

Network Intrusion Detection Based on PSO-Xgboost Model

inferredcites →https://doi.org/10.1109/access.2020.3000179openalex-snapshot

A Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection Systems

inferredcites →https://doi.org/10.1109/access.2021.3056614openalex-snapshot

Benchmarking of Machine Learning for Anomaly Based Intrusion Detection Systems in the CICIDS2017 Dataset

inferredcites →https://doi.org/10.1109/access.2021.3090957openalex-snapshot

Unsupervised Algorithms to Detect Zero-Day Attacks: Strategy and Application

inferredcites →https://doi.org/10.1109/access.2021.3104113openalex-snapshot

An Advanced Intrusion Detection System for IIoT Based on GA and Tree Based Algorithms

inferredcites →https://doi.org/10.1109/cccs.2018.8586840openalex-snapshot

Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternatives

inferredcites →https://doi.org/10.1109/csac.1998.738566openalex-snapshot

NetSTAT: a network-based intrusion detection approach

inferredcites →https://doi.org/10.1109/dasc/picom/datacom/cyberscitec.2018.00037openalex-snapshot

Detecting Anomaly in Big Data System Logs Using Convolutional Neural Network

inferredcites →https://doi.org/10.1109/gcwkshps50303.2020.9367477openalex-snapshot

Evaluation of Machine Learning Techniques for Security in SDN

inferredcites →https://doi.org/10.1109/icaibd51990.2021.9459006openalex-snapshot

Studying the Reinforcement Learning techniques for the problem of intrusion detection

inferredcites →https://doi.org/10.1109/iccubea.2015.61openalex-snapshot

Intrusion Detection System Using Bagging Ensemble Method of Machine Learning

inferredcites →https://doi.org/10.1109/icinis.2010.133openalex-snapshot

Using Naive Bayes with AdaBoost to Enhance Network Anomaly Intrusion Detection

inferredcites →https://doi.org/10.1109/icirca51532.2021.9544551openalex-snapshot

Retracted: Intrusion Detection Mechanisms: SVM, random forest, and extreme learning machine (ELM)

inferredcites →https://doi.org/10.1109/icstw55395.2022.00020openalex-snapshot

Early Detection of Network Attacks Using Deep Learning

inferredcites →https://doi.org/10.1109/iscit.2012.6380910openalex-snapshot

Using feature selection for intrusion detection system

inferredcites →https://doi.org/10.1109/lisat.2019.8817340openalex-snapshot

Applying Machine Learning to Anomaly-Based Intrusion Detection Systems

inferredcites →https://doi.org/10.1145/2980024.2872407openalex-snapshot

CloudSeer

inferredcites →https://doi.org/10.1145/3133956.3134015openalex-snapshot

DeepLog

inferredcites →https://doi.org/10.1145/3424155openalex-snapshot

On Generating Network Traffic Datasets with Synthetic Attacks for Intrusion Detection

inferredcites →https://doi.org/10.1186/s40537-020-00379-6openalex-snapshot

Performance Analysis of Intrusion Detection Systems Using a Feature Selection Method on the UNSW-NB15 Dataset

inferredcites →https://doi.org/10.1186/s42400-021-00103-8openalex-snapshot

Performance analysis of machine learning models for intrusion detection system using Gini Impurity-based Weighted Random Forest (GIWRF) feature selection technique

inferredcites →https://doi.org/10.13052/jsn2445-9739.2017.009openalex-snapshot

Towards a Reliable Intrusion Detection Benchmark Dataset

inferredcites →https://doi.org/10.3390/electronics9101565openalex-snapshot

An Anomaly Mitigation Framework for IoT Using Fog Computing

inferredcites →https://doi.org/10.3390/info12100405openalex-snapshot

UGRansome1819: A Novel Dataset for Anomaly Detection and Zero-Day Threats

inferredcites →https://doi.org/10.3390/math10060999openalex-snapshot

A Modified Grey Wolf Optimization Algorithm for an Intrusion Detection System

inferredcites →https://doi.org/10.3390/s22010241openalex-snapshot

Attack-Aware IoT Network Traffic Routing Leveraging Ensemble Learning

inferredcites →https://doi.org/10.3390/s22031154openalex-snapshot

Classification and Explanation for Intrusion Detection System Based on Ensemble Trees and SHAP Method

inferredcites →https://doi.org/10.3390/s22041407openalex-snapshot

An Enhanced Intrusion Detection Model Based on Improved kNN in WSNs

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A Continuous Terminal Sliding-Mode Observer-Based Anomaly Detection Approach for Industrial Communication Networks

inferredcites →https://doi.org/10.5120/ijca2017914340openalex-snapshot

Intrusion Detection using a Novel Hybrid Method Incorporating an Improved KNN

inferredcites →https://doi.org/10.5220/0010253501600171openalex-snapshot

Adversarial Machine Learning: A Comparative Study on Contemporary Intrusion Detection Datasets

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AI at the Physical Layer for Wireless Network Security and Privacy

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Zero-Day Threats Detection for Critical Infrastructures

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Requirements for a Career in Information Security: A Comprehensive Review

inferred← citeshttps://doi.org/10.1007/s00500-026-11432-6openalex-snapshot

Advanced intrusion detection in IoT-enabled SDWSNs using artificial intelligence and feature optimization techniques

inferred← citeshttps://doi.org/10.1007/s10115-025-02556-6openalex-snapshot

Emerging AI threats in cybercrime: a review of zero-day attacks via machine, deep, and federated learning

inferred← citeshttps://doi.org/10.1007/s10791-026-10486-2openalex-snapshot

A survey of intrusion detection datasets for communication networks

inferred← citeshttps://doi.org/10.1007/s44443-026-01245-wopenalex-snapshot

A variational autoencoder attention fusion model for zero-day exploit behavior detection VAE-AttNet

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A dual-tier adaptive one-class classification IDS for emerging cyberthreats

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Using Deep Packet Inspection Data to Examine Subscribers on the Network

inferred← citeshttps://doi.org/10.1038/s41598-025-87615-2openalex-snapshot

Zero-day exploits detection with adaptive WavePCA-Autoencoder (AWPA) adaptive hybrid exploit detection network (AHEDNet)

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Artificial Intelligence-Based Intrusion Detection and Prevention in Edge-Assisted SDWSN With Modified Honeycomb Structure

inferred← citeshttps://doi.org/10.1109/icdsaai65575.2025.11011792openalex-snapshot

Harnessing Generative Adversarial Networks for The Proactive Prediction and Prevention of Zero Day Exploits in the Dynamic Infosec Ecosystem

inferred← citeshttps://doi.org/10.1109/iceca55336.2022.10009524openalex-snapshot

Network Policy Enforcement: An Intrusion Prevention Approach for Critical Infrastructures

inferred← citeshttps://doi.org/10.1109/icscds65426.2025.11166929openalex-snapshot

Zero-Day Attack Detection in Cloud Security: A Survey of Machine Learning and Deep Learning Approaches

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News Classification and Categorization with Smart Function Sentiment Analysis

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RFSA: A Ransomware Feature Selection Algorithm for Multivariate Analysis of Malware Behavior in Cryptocurrency

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CESSO-HCRNN: A Hybrid CRNN With Chaotic Enriched SSO-based Improved Information Gain to Detect Zero-Day Attacks

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Combining Security and Reliability of Critical Infrastructures: The Concept of Securability

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Enhancing Ransomware Attack Detection Using Transfer Learning and Deep Learning Ensemble Models on Cloud-Encrypted Data

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Using ARIMA to Predict the Growth in the Subscriber Data Usage

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Detection of Cotton Verticillium Wilt Disease Severity Based on Hyperspectrum and GWO-SVM

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Cloud Cybersecurity: Navigating Evolving Threats and Architecting Resilient Defenses

inferred← citeshttps://doi.org/10.52549/ijeei.v12i1.5109openalex-snapshot

Ransomware Detection Using Stacked Autoencoder for Feature Selection

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An innovative ZFFinch-MLPNet architecture for improving cyber intrusion prediction efficiency and accuracy

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Optimizing Information Security In Cloud Environments: A Risk Management Approach And Guide For Enterprise Cloud Security

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