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A New Scheme for Ransomware Classification and Clustering Using Static Features
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Outgoing claims: the papers this work cites, builds on, or argues with.
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VoterChoice: A ransomware detection honeypot with multiple voting framework
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The Palgrave Handbook of National Security
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Why Current Statistical Approaches to Ransomware Detection Fail
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Mapping CKC Model Through NLP Modelling for APT Groups Reports
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Ransomware Threat Detection: A Deep Learning Approach
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Machine Learning in Automated Detection of Ransomware: Scope, Benefits and Challenges
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A Short Review for Ransomware: Pros and Cons
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Secure Knowledge Management In Artificial Intelligence Era
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Cryptographic Algorithm Identification Using Deep Learning Techniques
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Proceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences
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Classical and Physical Security of Symmetric Key Cryptographic Algorithms
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Cyber Security: Issues and Current Trends
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Intelligent automobile auxiliary propagation system based on speech recognition and AI driven feature extraction techniques
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Evaluation of deep learning approaches for identification of different corona-virus species and time series prediction
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Multiclass malware classification via first- and second-order texture statistics
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COVID-19 pandemic and the cyberthreat landscape: Research challenges and opportunities
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The rise of ransomware: Forensic analysis for windows based ransomware attacks
inferredcites →https://doi.org/10.1016/j.jisa.2021.103092openalex-snapshot
AI@nti-Malware: An intelligent framework for defending against malware attacks
inferredcites →https://doi.org/10.1016/j.jjimei.2021.100013openalex-snapshot
Information security breaches due to ransomware attacks - a systematic literature review
inferredcites →https://doi.org/10.1016/j.spl.2022.109375openalex-snapshot
An improved asymptotic test for the Jaccard similarity index for binary data
inferredcites →https://doi.org/10.1016/s1361-3723(19)30028-4openalex-snapshot
Best practices for preventing and recovering from a ransomware attack
inferredcites →https://doi.org/10.1109/access.2019.2945839openalex-snapshot
A Survey on Detection Techniques for Cryptographic Ransomware
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A Digital DNA Sequencing Engine for Ransomware Detection Using Machine Learning
inferredcites →https://doi.org/10.1109/access.2020.3006143openalex-snapshot
A Review of Android Malware Detection Approaches Based on Machine Learning
inferredcites →https://doi.org/10.1109/access.2020.3023764openalex-snapshot
Design of Intrusion Detection Honeypot Using Social Leopard Algorithm to Detect IoT Ransomware Attacks
inferredcites →https://doi.org/10.1109/cais.2018.8471688openalex-snapshot
Intrusion and ransomware detection system
inferredcites →https://doi.org/10.1109/citsm47753.2019.8965419openalex-snapshot
Malware Detection Using Honeypot and Machine Learning
inferredcites →https://doi.org/10.1109/icicis52592.2021.9694154openalex-snapshot
SALAM Ransomware Behavior Analysis Challenges and Decryption
inferredcites →https://doi.org/10.1109/icoei.2019.8862720openalex-snapshot
A Honeypot with Machine Learning based Detection Framework for defending IoT based Botnet DDoS Attacks
inferredcites →https://doi.org/10.1109/miucc55081.2022.9781655openalex-snapshot
Ransomware Clustering and Classification using Similarity Matrix
inferredcites →https://doi.org/10.1109/tifs.2018.2833292openalex-snapshot
Statistical Estimation of Malware Detection Metrics in the Absence of Ground Truth
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Enriching an online suicidal dataset with active machine learning
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Security and Privacy in Unified Communication
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A Survey on Ransomware: Evolution, Taxonomy, and Defense Solutions
inferredcites →https://doi.org/10.17559/tv-20210820065715openalex-snapshot
Malware Visualization and Similarity via Tracking Binary Execution Path
inferredcites →https://doi.org/10.2139/ssrn.4017025openalex-snapshot
Multi Pronged Approach for Ransomware Analysis
inferredcites →https://doi.org/10.21608/ijt.2022.266474openalex-snapshot
Design and Implementation of Advanced Encryption Standard by New Substitution Box in Galois Field (𝟐𝟖)
inferredcites →https://doi.org/10.22219/repositor.v4i1.1373openalex-snapshot
Analisis Ransomware Wannacry Menggunakan Aplikasi Cuckoo Sandbox
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Ransomware Detection Using the Dynamic Analysis and Machine Learning: A Survey and Research Directions
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A Method for Neutralizing Entropy Measurement-Based Ransomware Detection Technologies Using Encoding Algorithms
inferredcites →https://doi.org/10.3390/electronics9111777openalex-snapshot
MALGRA: Machine Learning and N-Gram Malware Feature Extraction and Detection System
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/s22030953openalex-snapshot
Ransomware: Analysing the Impact on Windows Active Directory Domain Services
inferredcites →https://doi.org/10.3390/s22051837openalex-snapshot
A Survey of Crypto Ransomware Attack Detection Methodologies: An Evolving Outlook
inferredcites →https://doi.org/10.3390/su14010008openalex-snapshot
Ransomware Detection, Avoidance, and Mitigation Scheme: A Review and Future Directions
inferredcites →https://doi.org/10.3390/su14106306openalex-snapshot
Review of Intelligent Road Defects Detection Technology
inferredcites →https://doi.org/10.3745/jips.02.0024openalex-snapshot
Improving the Diffusion of the Stream Cipher Salsa20 by Employing a Chaotic Logistic Map
inferredcites →https://doi.org/10.5815/ijeme.2018.02.03openalex-snapshot
A Study on Malware and Malware Detection Techniques
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.70813openalex-snapshot
Early Detection of Windows Crypto‐Ransomware Based on API Sequences and Deep Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-07244-3_5openalex-snapshot
Effective Knowledge Graph Representation for Cybersecurity Using AI-Based X Data and Named Entity Relation Technique
inferred← citeshttps://doi.org/10.1007/978-3-032-19099-4_37openalex-snapshot
ATTAXML: Behaviour-Based Prediction of MITRE ATT&CK Techniques in Ransomware with Extreme Multi-label Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-23035-5_14openalex-snapshot
Detecting Ransomware via Static Analysis Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-032-23716-3_3openalex-snapshot
Review of Artificial Intelligence Techniques for Ransomware Classification
inferred← citeshttps://doi.org/10.1007/978-981-96-5848-0_46openalex-snapshot
Analyzing Early Indicators of Ransomware: Pre-encryption Behavior Patterns
inferred← citeshttps://doi.org/10.1007/978-981-97-4540-1_32openalex-snapshot
Evolving Trends in Ransomware: Inherent Advanced Persistent Threat
inferred← citeshttps://doi.org/10.1007/s10586-023-04114-7openalex-snapshot
Cybersecurity for autonomous vehicles against malware attacks in smart-cities
inferred← citeshttps://doi.org/10.1109/access.2023.3309879openalex-snapshot
Hiding in the Crowd: Ransomware Protection by Adopting Camouflage and Hiding Strategy With the Link File
inferred← citeshttps://doi.org/10.1109/ccnc54725.2025.10976000openalex-snapshot
Adversarial Vulnerabilities in Ransomware Detection: Enhancing Machine Learning Model Robustness
inferred← citeshttps://doi.org/10.1109/ccncps66785.2025.11135708openalex-snapshot
A Hybrid Machine Learning Approach for Ransomware Detection: Integrating Signature and Anomaly-Based Techniques
inferred← citeshttps://doi.org/10.1109/iceccme62383.2024.10796313openalex-snapshot
Fairness in Machine Learning for Cybersecurity: Enhancing Trust Through Feature Importance and SHAP Analysis
inferred← citeshttps://doi.org/10.1109/icpct64145.2025.10941048openalex-snapshot
Smart City Cybersecurity: Leveraging Machine Learning for Advanced Ransomware Detection and Prevention
inferred← citeshttps://doi.org/10.1109/ictbig64922.2024.10911046openalex-snapshot
Ransomware Classification: A Comparative Analysis of ML Algorithms
inferred← citeshttps://doi.org/10.1109/ihcsp56702.2023.10127199openalex-snapshot
Advance Model For Ransomware Attacking Data Classification And Prediction Using Ai
inferred← citeshttps://doi.org/10.1109/incitest59455.2023.10396943openalex-snapshot
Ransomware Resilience: Investigating Organizational Security Culture and Its Impact on Cybersecurity Practices against Ransomware Threats
inferred← citeshttps://doi.org/10.1145/3658644.3690269openalex-snapshot
CanCal: Towards Real-time and Lightweight Ransomware Detection and Response in Industrial Environments
inferred← citeshttps://doi.org/10.1145/3691340openalex-snapshot
Ransomware Reloaded: Re-examining Its Trend, Research and Mitigation in the Era of Data Exfiltration
inferred← citeshttps://doi.org/10.1145/3798092openalex-snapshot
Crypto-Ransomware and Their Defenses: In-Depth Behavioral Characterization, Discussion of Deployability, and New Insights
inferred← citeshttps://doi.org/10.20431/2349-4859.1101003openalex-snapshot
Comparative Analysis of Ransomware Detection Techniques: Strengths and Vulnerabilities
inferred← citeshttps://doi.org/10.20944/preprints202311.0676.v1openalex-snapshot
Using Large Language Models to Mitigate Ransomware Threats
inferred← citeshttps://doi.org/10.20944/preprints202311.0798.v1openalex-snapshot
A Survey on Ransomware Threats: Contrasting Static and Dynamic Analysis Methods
inferred← citeshttps://doi.org/10.20944/preprints202311.1147.v1openalex-snapshot
Enhanced Ransomware Identification via Feature Extraction with Class Feature Weighting
inferred← citeshttps://doi.org/10.20944/preprints202311.1286.v1openalex-snapshot
A Few-Shot Learning Approach with a Twin Neural Network Utilizing Entropy Features for Ransomware Classification
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3689581/v1openalex-snapshot
LLaMa Assisted Reverse Engineering of Modern Ransomware: A Comparative Analysis with Early Crypto-Ransomware
inferred← citeshttps://doi.org/10.31219/osf.io/d4atnopenalex-snapshot
Enhanced Ransomware Identification via Feature Extraction with Class Feature Weighting
inferred← citeshttps://doi.org/10.31219/osf.io/nzft9openalex-snapshot
Enhanced Ransomware Identification via Feature Extraction with Class Feature Weighting
inferred← citeshttps://doi.org/10.32604/csse.2023.036802openalex-snapshot
Optimal Deep Learning Based Ransomware Detection and Classification in the Internet of Things Environment
inferred← citeshttps://doi.org/10.3390/bdcc7030143openalex-snapshot
Ransomware Detection Using Machine Learning: A Survey
inferred← citeshttps://doi.org/10.3390/electronics12183899openalex-snapshot
Enhancing Ransomware Attack Detection Using Transfer Learning and Deep Learning Ensemble Models on Cloud-Encrypted Data
inferred← citeshttps://doi.org/10.3390/electronics13183689openalex-snapshot
Clop Ransomware in Action: A Comprehensive Analysis of Its Multi-Stage Tactics
inferred← citeshttps://doi.org/10.3390/info15010046openalex-snapshot
A Holistic Approach to Ransomware Classification: Leveraging Static and Dynamic Analysis with Visualization
inferred← citeshttps://doi.org/10.3390/math11010249openalex-snapshot
Retaliation against Ransomware in Cloud-Enabled PureOS System
inferred← citeshttps://doi.org/10.4018/978-1-6684-6646-9.ch004openalex-snapshot
Significance of Cyber Security in Healthcare Systems
inferred← citeshttps://doi.org/10.4236/jis.2023.144016openalex-snapshot
Majority Voting Ransomware Detection System
inferred← citeshttps://doi.org/10.52436/1.jutif.2023.4.3.886openalex-snapshot
DECEPTION BASED TECHNIQUES AGAINST RANSOMWARES: A SYSTEMATIC REVIEW
inferred← citeshttps://doi.org/10.70528/ijlrp.v6.i7.1683openalex-snapshot
Mitigating Ransomware Threats: A Machine Learning Perspective on Dynamic Feature Utilization
inferred← citeshttps://doi.org/10.71097/ijsat.v16.i3.7324openalex-snapshot
Hybrid Machine Learning Model for Android Ransomware Detection Using URL-Based Features
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