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Improved Bidirectional GAN-Based Approach for Network Intrusion Detection Using One-Class Classifier

https://doi.org/10.3390/computers11060085

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What this work says

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

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

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Large Scale Behavioral Analysis of Ransomware Attacks

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GANomaly: Semi-supervised Anomaly Detection via Adversarial Training

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The Inadequacy of Entropy-Based Ransomware Detection

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Computer Vision – ECCV 2020

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Information Processing in Medical Imaging

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Generative Adversarial Nets

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Bio-inspired algorithm for outliers detection

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Joint Spectral Clustering based on Optimal Graph and Feature Selection

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A few-shot meta-learning based siamese neural network using entropy features for ransomware classification

inferredcites →https://doi.org/10.1016/j.jcss.2014.02.005openalex-snapshot

A survey of emerging threats in cybersecurity

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Metaheuristic algorithm for anomaly detection in Internet of Things leveraging on a neural-driven multiagent system

inferredcites →https://doi.org/10.1016/j.media.2019.01.010openalex-snapshot

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

inferredcites →https://doi.org/10.1016/j.neucom.2019.11.016openalex-snapshot

A novel statistical analysis and autoencoder driven intelligent intrusion detection approach

inferredcites →https://doi.org/10.1016/j.procs.2020.08.020openalex-snapshot

An improved BiGAN based approach for anomaly detection

inferredcites →https://doi.org/10.1109/access.2020.3022855openalex-snapshot

Intrusion Detection Based on Autoencoder and Isolation Forest in Fog Computing

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Multi-Loss Siamese Neural Network With Batch Normalization Layer for Malware Detection

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Improving Performance of Autoencoder-Based Network Anomaly Detection on NSL-KDD Dataset

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AE-MLP: A Hybrid Deep Learning Approach for DDoS Detection and Classification

inferredcites →https://doi.org/10.1109/cscloud.2017.39openalex-snapshot

Network Anomaly Detection with Stochastically Improved Autoencoder Based Models

inferredcites →https://doi.org/10.1109/icdm.2018.00088openalex-snapshot

Adversarially Learned Anomaly Detection

inferredcites →https://doi.org/10.1109/lcn44214.2019.8990759openalex-snapshot

End-to-End Adversarial Learning for Intrusion Detection in Computer Networks

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Automated pneumothorax triaging in chest X‐rays in the New Zealand population using deep‐learning algorithms

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A Deep Learning Approach for Network Intrusion Detection System

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Add-BiGAN: An Add-Based Bidirectional Generative Adversarial Networks for Intrusion Detection

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Artificial Intelligence-based intrusion detection system for V2V communication in vehicular adhoc networks

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Detection of obfuscated Tor traffic based on bidirectional generative adversarial networks and vision transform

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SYN-GAN: A robust intrusion detection system using GAN-based synthetic data for IoT security

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An enhanced BiGAN architecture for network intrusion detection

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A Comprehensive Survey of Generative Adversarial Networks (GANs) in Cybersecurity Intrusion Detection

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

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LRT-DDPM: A Diffusion Model-Based Approach for Network Traffic Data Generation in Intrusion Detection

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Network Intrusion Detection Using a Stacking of AI-driven Models with Sampling

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Machine Learning-Based Approach for Detecting DDoS Attack in SDN

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Traffic Anomaly Detection Method based on Mislearned Autoencoder

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Design and Evaluation of Deep Generative AI Model for Intrusion Detection in Cyber Threat Monitoring

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Cyber-Security Dashboard: An Extensible Intrusion Detection System for Distributed Controls Systems

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ERFS: Efficient Feature Graph Representation for Intrusion Detection Based on Flow Semantic Association

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Generative AI-Driven Intrusion Detection Systems for the Industrial Internet of Things: A Systematic Review

inferred← citeshttps://doi.org/10.3390/electronics15061225openalex-snapshot

WASAE-NIDS: Reverse-Frequency Class Weighting with GAN-Assisted Conditional Autoencoder for Network Intrusion Detection

inferred← citeshttps://doi.org/10.3390/fi17050216openalex-snapshot

Mitigating Class Imbalance in Network Intrusion Detection with Feature-Regularized GANs

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A Survey of Internet of Things and Cyber-Physical Systems: Standards, Algorithms, Applications, Security, Challenges, and Future Directions

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Generative Adversarial Networks in Anomaly Detection and Malware Detection: A Comprehensive Survey

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