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

https://doi.org/10.3390/electronics12183899

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What this work says

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

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Ransomware detection using machine learning algorithms

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Zero-day Ransomware Attack Detection using Deep Contractive Autoencoder and Voting based Ensemble Classifier

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Machine learning for encrypted malicious traffic detection: Approaches, datasets and comparative study

inferredcites →https://doi.org/10.1016/j.eswa.2018.02.039openalex-snapshot

Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory

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Fusing feature engineering and deep learning: A case study for malware classification

inferredcites →https://doi.org/10.1016/j.eswa.2022.118299openalex-snapshot

Crypto-ransomware detection using machine learning models in file-sharing network scenarios with encrypted traffic

inferredcites →https://doi.org/10.1016/j.jksuci.2024.101925openalex-snapshot

Machine learning-based ransomware classification of Bitcoin transactions

inferredcites →https://doi.org/10.1016/j.knosys.2022.110203openalex-snapshot

A novel conditional weighting transfer Wasserstein auto-encoder for rolling bearing fault diagnosis with multi-source domains

inferredcites →https://doi.org/10.1051/e3sconf/202339904056openalex-snapshot

Bitcoin Heist Ransomware Attack Prediction Using Data Science Process

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Machine Learning Based File Entropy Analysis for Ransomware Detection in Backup Systems

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Deep Facial Diagnosis: Deep Transfer Learning From Face Recognition to Facial Diagnosis

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A New Malware Classification Framework Based on Deep Learning Algorithms

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Enhancing File Entropy Analysis to Improve Machine Learning Detection Rate of Ransomware

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Machine Learning Algorithms and Frameworks in Ransomware Detection

inferredcites →https://doi.org/10.1109/access.2022.3233775openalex-snapshot

Transfer Learning Approach to IDS on Cloud IoT Devices Using Optimized CNN

inferredcites →https://doi.org/10.1109/access.2023.3279819openalex-snapshot

Detection of Ransomware Attacks Using Processor and Disk Usage Data

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Ransomware Detection and Classification Strategies

inferredcites →https://doi.org/10.1109/cdan.2016.7570872openalex-snapshot

A survey on attack detection on cloud using supervised learning techniques

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A Novel Ransomware Virus Detection Technique using Machine and Deep Learning Methods

inferredcites →https://doi.org/10.1109/ihcsp56702.2023.10127199openalex-snapshot

Advance Model For Ransomware Attacking Data Classification And Prediction Using Ai

inferredcites →https://doi.org/10.1109/iscas46773.2023.10182056openalex-snapshot

Deep Echo State Networks for Detecting Internet Worm and Ransomware Attacks

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

The Role of Machine Learning in Cybersecurity

inferredcites →https://doi.org/10.32604/csse.2023.036802openalex-snapshot

Optimal Deep Learning Based Ransomware Detection and Classification in the Internet of Things Environment

inferredcites →https://doi.org/10.33640/2405-609x.3155openalex-snapshot

Detecting Malicious DNS Queries Over Encrypted Tunnels Using Statistical Analysis and Bi-Directional Recurrent Neural Networks

inferredcites →https://doi.org/10.33736/jcsi.4932.2022openalex-snapshot

Trends and Future Directions in Automated Ransomware Detection

inferredcites →https://doi.org/10.3390/app12010172openalex-snapshot

Ransomware Detection Using the Dynamic Analysis and Machine Learning: A Survey and Research Directions

inferredcites →https://doi.org/10.3390/computers12060121openalex-snapshot

Proactive Ransomware Detection Using Extremely Fast Decision Tree (EFDT) Algorithm: A Case Study

inferredcites →https://doi.org/10.3390/electronics11111749openalex-snapshot

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

inferredcites →https://doi.org/10.3390/electronics11203307openalex-snapshot

A New Scheme for Ransomware Classification and Clustering Using Static Features

inferredcites →https://doi.org/10.3390/iot1020030openalex-snapshot

A Study on the Evolution of Ransomware Detection Using Machine Learning and Deep Learning Techniques

inferredcites →https://doi.org/10.3390/math11112481openalex-snapshot

Securing IoT Devices Running PureOS from Ransomware Attacks: Leveraging Hybrid Machine Learning Techniques

inferredcites →https://doi.org/10.3390/s23094467openalex-snapshot

E2E-RDS: Efficient End-to-End Ransomware Detection System Based on Static-Based ML and Vision-Based DL Approaches

inferredcites →https://doi.org/10.3390/su14010008openalex-snapshot

Ransomware Detection, Avoidance, and Mitigation Scheme: A Review and Future Directions

inferredcites →https://doi.org/10.4108/eai.13-7-2018.162691openalex-snapshot

A Three-Level Ransomware Detection and Prevention Mechanism

What points at this work

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Top Cyber Threats: The Rise of Ransomware

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Building Resilience Against Ransomware, from Detection to Recovery: A Literature Review

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Cybersecurity Dynamics: A Human Factors and Criminology Approach to Detect Threatening Techniques and Motivation

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A Lightweight Detection of Sequential Patterns in File System Events During Ransomware Attacks

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A Comprehensive Approach to Ransomware Detection Utilizing Diverse Machine Learning Models and Balancing Techniques

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Privacy preserved api access control policy- based ransomware attack detection in cloud vms using sl2stm

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Securing the internet of things: A comprehensive review of ransomware attacks, detection, countermeasures, and future prospects

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113984openalex-snapshot

Ensemble-based feature selection and optimization-driven deep learning for attack detection in cloud computing

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Mitigating ransomware threats through network traffic analysis using hybrid quantum-attention stereoscopic neural networks

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Prediction of android ransomware with deep learning model using hybrid cryptography

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Artificial intelligence driven approach for securing backup data and enhancing cyber resilience in sustainable smart infrastructure

inferred← citeshttps://doi.org/10.1080/00949655.2026.2630236openalex-snapshot

Multiscale attention-based deep learning approach for ransomware threats detection and prevention

inferred← citeshttps://doi.org/10.1080/23742917.2025.2498776openalex-snapshot

List-unsubscribe-sensible phishing email and ransomware identification using a novel LCRMNN and LBIME

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Ransomware Detection Using Machine Learning: A Review, Research Limitations and Future Directions

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A Survey of Ransomware Detection Methods

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Hybrid ANN-Bagging Classifier Approach for Ransomware Detection in Cybersecurity

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A Hybrid Machine Learning Approach for Ransomware Detection: Integrating Signature and Anomaly-Based Techniques

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A Machine Learning Approach of Predicting Ransomware Addresses in BlockChain Networks

inferred← citeshttps://doi.org/10.1109/ctus-emea68989.2025.11592243openalex-snapshot

An Explainable Hybrid Deep Representation Learning Model for Improved Early Detection of Ransomware Attacks

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Optimized AI Models for Multi-Class Malware Detection: Balancing Datasets with O-SMOTE and Detecting Ransomware with 1D-CNN

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A Hybrid Deep Learning Approach for Ransomware Detection Using 1D-CNN and DistilBERT

inferred← citeshttps://doi.org/10.1109/ic2pct68894.2026.11584275openalex-snapshot

Behavior-Aware Hybrid AI Framework for Early-Stage Ransomware Detection Using Relational and Temporal Storage Access Patterns

inferred← citeshttps://doi.org/10.1109/icact67549.2025.11351517openalex-snapshot

Advanced Cybersecurity Framework for Cloud Computing with Intrusion Detection Using Improved ResNet-50 and Hybrid Encryption Approach

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Artificial Intelligence Techniques for the Ransomware Detection: Current Methods and Challenges

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An Adaptive Framework Integrating ML Blockchain and TEE for Cloud Security

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Adversarial Networks for Enhanced Cyber Identity Theft Detection and Security in E-Governance Sector

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Machine Learning-Enabled Ransomware Prediction and Containment Model for Large-Scale Cloud Storage Systems

inferred← citeshttps://doi.org/10.1109/icpct64145.2025.10941048openalex-snapshot

Smart City Cybersecurity: Leveraging Machine Learning for Advanced Ransomware Detection and Prevention

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Enhanced Ransomware Detection using a Hybrid Quantum-Classical Convolutional Neural Network with Boosted Sooty Tern Optimization

inferred← citeshttps://doi.org/10.1109/ictacs62700.2024.10841295openalex-snapshot

Defending Digital Storefronts: Deep Learning Strategies for E-Commerce Ransomware Prevention

inferred← citeshttps://doi.org/10.1109/ictmim65579.2025.10988205openalex-snapshot

Signature-based Antivirus Scanner for Effective Malware Detection and Security Analysis

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Revolutionizing Banking Cybersecurity: Deep Learning Strategies to Thwart Ransomware Attacks

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HATE: An Explainable Hybrid Attention–Temporal Ensemble Framework for Early-Stage Ransomware Detection Using Kernel-Level File I/O Behaviour

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Ransomware Attacks on Smart Grids: Challenges and Defense Strategies

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HFL-RD: Heterogeneous Federated Learning-Empowered Ransomware Detection via APIs and Traffic Features

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A Review of Context-Aware Anomaly-Based Detection of Ransomware in Modern Information Systems

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