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Improving Cyber Defense Against Ransomware: A Generative Adversarial Networks-Based Adversarial Training Approach for Long Short-Term Memory Network Classifier

https://doi.org/10.3390/electronics14040810

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What this work says

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

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A deep learning approach for detecting malicious JavaScript code

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HamDroid: permission-based harmful android anti-malware detection using neural networks

inferredcites →https://doi.org/10.1016/j.compeleceng.2019.07.014openalex-snapshot

Ransomware protection using the moving target defense perspective

inferredcites →https://doi.org/10.1016/j.cose.2019.101682openalex-snapshot

A novel method for malware detection on ML-based visualization technique

inferredcites →https://doi.org/10.1016/j.cose.2021.102490openalex-snapshot

Ransomware: Recent advances, analysis, challenges and future research directions

inferredcites →https://doi.org/10.1016/j.cose.2024.103733openalex-snapshot

Future of generative adversarial networks (GAN) for anomaly detection in network security: A review

inferredcites →https://doi.org/10.1016/j.eswa.2022.118705openalex-snapshot

Android malware detection based on multi-head squeeze-and-excitation residual network

inferredcites →https://doi.org/10.1016/j.future.2018.07.045openalex-snapshot

DRTHIS: Deep ransomware threat hunting and intelligence system at the fog layer

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Prototype adjustment for zero shot classification

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Context-sensitive zero-shot semantic segmentation model based on meta-learning

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Adversarial training of LSTM-ED based anomaly detection for complex time-series in cyber-physical-social systems

inferredcites →https://doi.org/10.1109/access.2020.2973219openalex-snapshot

Increasing the Performance of Machine Learning-Based IDSs on an Imbalanced and Up-to-Date Dataset

inferredcites →https://doi.org/10.1109/access.2020.3003785openalex-snapshot

A Digital DNA Sequencing Engine for Ransomware Detection Using Machine Learning

inferredcites →https://doi.org/10.1109/access.2023.3296707openalex-snapshot

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

inferredcites →https://doi.org/10.1109/cinti63048.2024.10830884openalex-snapshot

CNN in Malware Detection

inferredcites →https://doi.org/10.1109/iccv.2017.304openalex-snapshot

Least Squares Generative Adversarial Networks

inferredcites →https://doi.org/10.1109/sp.2017.49openalex-snapshot

Towards Evaluating the Robustness of Neural Networks

inferredcites →https://doi.org/10.1109/tim.2002.808031openalex-snapshot

Autoregressive spectral estimation by application of the burg algorithm to irregularly sampled data

inferredcites →https://doi.org/10.1109/tkde.2009.191openalex-snapshot

A Survey on Transfer Learning

inferredcites →https://doi.org/10.1109/tnnls.2019.2933524openalex-snapshot

Adversarial Examples: Opportunities and Challenges

inferredcites →https://doi.org/10.1145/3190645.3190692openalex-snapshot

Malware classification using deep learning methods

inferredcites →https://doi.org/10.1145/3545574openalex-snapshot

The Role of Machine Learning in Cybersecurity

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SMOTE: Synthetic Minority Over-sampling Technique

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Wireless Sensor Networks Intrusion Detection Based on SMOTE and the Random Forest Algorithm

What points at this work

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

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An Adversarial Training Based Optimal Weighted Federated Deep Learning Framework for Malware Detection

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Fast-gradient-guided generative adversarial learning for explainable cyber threat intelligence

inferred← citeshttps://doi.org/10.1016/j.future.2025.108273openalex-snapshot

A generative AI-based approach for resilient service composition under cybersecurity attacks in cloud-fog networks

inferred← citeshttps://doi.org/10.1038/s41598-025-18811-3openalex-snapshot

Detection of unseen malware threats using generative adversarial networks and deep learning models

inferred← citeshttps://doi.org/10.1109/iciccs67901.2026.11502901openalex-snapshot

Adversarial Robustness Evaluation of Attention-Enhanced LSTM-ResNet Hybrid Architecture for Mobile Malware Detection

inferred← citeshttps://doi.org/10.1109/icriset64803.2025.11251740openalex-snapshot

Enhancing GAN Resilience through Adversarial-Aware Architecture and Latent-Space Defense

inferred← citeshttps://doi.org/10.1109/milcom64451.2025.11310045openalex-snapshot

SERA: Automating Semantic-Enhanced Behavior Extraction from Ransomware API sequences

inferred← citeshttps://doi.org/10.29121/shodhkosh.v7.i10s.2026.8147openalex-snapshot

A REVIEW STUDY ON THE DEVELOPMENT OF LSTM-BASED INTRUSION DETECTION SYSTEM IN CLOUD COMPUTING ENVIRONMENTS

inferred← citeshttps://doi.org/10.3390/bdcc10090304openalex-snapshot

A Hybrid SMOTE-CTGAN and VAE-LSTM Framework for Interpretable Intrusion Detection in Imbalanced Network Traffic

inferred← citeshttps://doi.org/10.3390/info16060458openalex-snapshot

A Transductive Zero-Shot Learning Framework for Ransomware Detection Using Malware Knowledge Graphs

inferred← citeshttps://doi.org/10.3390/jcp6040132openalex-snapshot

Adversarial Machine Learning for Secure and Explainable AI Systems: A Comprehensive Review

inferred← citeshttps://doi.org/10.56714/bjrs.52.1.11openalex-snapshot

Network Traffic-Based Ransomware Detection Using Anomaly Detection Algorithms: A Comprehensive Systematic Review

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