Assessing Cyclostationary Malware Detection via Feature Selection and Classification
Fuente:
arXiv
Saved in:
| Main Author: | Nkongolo, Mike |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Ransomware detection using stacked autoencoder for feature selection
by: Nkongolo, Mike, et al.
Published: (2024)
by: Nkongolo, Mike, et al.
Published: (2024)
LLM-FS: Zero-Shot Feature Selection for Effective and Interpretable Malware Detection
by: Gill, Naveen, et al.
Published: (2026)
by: Gill, Naveen, et al.
Published: (2026)
A Comparison of Selected Image Transformation Techniques for Malware Classification
by: Agrawal, Rishit, et al.
Published: (2025)
by: Agrawal, Rishit, et al.
Published: (2025)
Trident: Improving Malware Detection with LLMs and Behavioral Features
by: Saul, Rebecca, et al.
Published: (2026)
by: Saul, Rebecca, et al.
Published: (2026)
Adaptive Malware Detection using Sequential Feature Selection: A Dueling Double Deep Q-Network (D3QN) Framework for Intelligent Classification
by: Khan, Naseem, et al.
Published: (2025)
by: Khan, Naseem, et al.
Published: (2025)
Efficient Malware Detection with Optimized Learning on High-Dimensional Features
by: Choudhary, Aditya, et al.
Published: (2025)
by: Choudhary, Aditya, et al.
Published: (2025)
Multimodal Techniques for Malware Classification
by: Jiang, Jonathan, et al.
Published: (2025)
by: Jiang, Jonathan, et al.
Published: (2025)
Ransomware Detection Dynamics: Insights and Implications
by: Nkongolo, Mike
Published: (2024)
by: Nkongolo, Mike
Published: (2024)
Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection
by: Gupta, Siddhant, et al.
Published: (2024)
by: Gupta, Siddhant, et al.
Published: (2024)
Dual Explanations via Subgraph Matching for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025)
by: Shokouhinejad, Hossein, et al.
Published: (2025)
CAFE-GB: Scalable and Stable Feature Selection for Malware Detection via Chunk-wise Aggregated Gradient Boosting
by: K, Ajvad Haneef, et al.
Published: (2026)
by: K, Ajvad Haneef, et al.
Published: (2026)
MeLeMaD: Adaptive Malware Detection via Chunk-wise Feature Selection and Meta-Learning
by: K, Ajvad Haneef, et al.
Published: (2025)
by: K, Ajvad Haneef, et al.
Published: (2025)
TUANDROMD-X: Advanced Entropy and Visual Analytics Dataset for Enhanced Malware Detection and Classification
by: Borah, Parthajit, et al.
Published: (2026)
by: Borah, Parthajit, et al.
Published: (2026)
kNN Classification of Malware Data Dependency Graph Features
by: Musgrave, John, et al.
Published: (2024)
by: Musgrave, John, et al.
Published: (2024)
Evasion of IoT Malware Detection via Dummy Code Injection
by: Zargarzadeh, Sahar, et al.
Published: (2026)
by: Zargarzadeh, Sahar, et al.
Published: (2026)
R+R: Revisiting Static Feature-Based Android Malware Detection using Machine Learning
by: Alam, Md Tanvirul, et al.
Published: (2024)
by: Alam, Md Tanvirul, et al.
Published: (2024)
System Calls for Malware Detection and Classification: Methodologies and Applications
by: Gond, Bishwajit Prasad, et al.
Published: (2025)
by: Gond, Bishwajit Prasad, et al.
Published: (2025)
Malware Detection based on API calls
by: Fellicious, Christofer, et al.
Published: (2025)
by: Fellicious, Christofer, et al.
Published: (2025)
DeepTrust: Multi-Step Classification through Dissimilar Adversarial Representations for Robust Android Malware Detection
by: Pulido-Cortázar, Daniel, et al.
Published: (2025)
by: Pulido-Cortázar, Daniel, et al.
Published: (2025)
Ransomware Detection and Classification Using Random Forest: A Case Study with the UGRansome2024 Dataset
by: Azugo, Peace, et al.
Published: (2024)
by: Azugo, Peace, et al.
Published: (2024)
Malware Classification Leveraging NLP & Machine Learning for Enhanced Accuracy
by: Gond, Bishwajit Prasad, et al.
Published: (2025)
by: Gond, Bishwajit Prasad, et al.
Published: (2025)
Image-Based Malware Classification Using QR and Aztec Codes
by: Khadilkar, Atharva, et al.
Published: (2024)
by: Khadilkar, Atharva, et al.
Published: (2024)
Cluster Analysis and Concept Drift Detection in Malware
by: Mishra, Aniket, et al.
Published: (2025)
by: Mishra, Aniket, et al.
Published: (2025)
LLM-Generated Samples for Android Malware Detection
by: Rollinson, Nik, et al.
Published: (2025)
by: Rollinson, Nik, et al.
Published: (2025)
A Transformer-Based Framework for Payload Malware Detection and Classification
by: Stein, Kyle, et al.
Published: (2024)
by: Stein, Kyle, et al.
Published: (2024)
LAMD: Context-driven Android Malware Detection and Classification with LLMs
by: Qian, Xingzhi, et al.
Published: (2025)
by: Qian, Xingzhi, et al.
Published: (2025)
Level Up with ML Vulnerability Identification: Leveraging Domain Constraints in Feature Space for Robust Android Malware Detection
by: Bostani, Hamid, et al.
Published: (2022)
by: Bostani, Hamid, et al.
Published: (2022)
Comparison of Multiple Classifiers for Android Malware Detection with Emphasis on Feature Insights Using CICMalDroid 2020 Dataset
by: Abedin, Md Min-Ha-Zul, et al.
Published: (2026)
by: Abedin, Md Min-Ha-Zul, et al.
Published: (2026)
A Comparison of Adversarial Learning Techniques for Malware Detection
by: Louthánová, Pavla, et al.
Published: (2023)
by: Louthánová, Pavla, et al.
Published: (2023)
Optimization of Lightweight Malware Detection Models For AIoT Devices
by: Lo, Felicia, et al.
Published: (2024)
by: Lo, Felicia, et al.
Published: (2024)
Recent Advances in Malware Detection: Graph Learning and Explainability
by: Shokouhinejad, Hossein, et al.
Published: (2025)
by: Shokouhinejad, Hossein, et al.
Published: (2025)
Regression-aware Continual Learning for Android Malware Detection
by: Ghiani, Daniele, et al.
Published: (2025)
by: Ghiani, Daniele, et al.
Published: (2025)
A Survey of Malware Detection Using Deep Learning
by: Bensaoud, Ahmed, et al.
Published: (2024)
by: Bensaoud, Ahmed, et al.
Published: (2024)
Feature Selection for Network Intrusion Detection
by: Westphal, Charles, et al.
Published: (2024)
by: Westphal, Charles, et al.
Published: (2024)
FARM: Few-shot Adaptive Malware Family Classification under Concept Drift
by: Guldemir, Numan Halit, et al.
Published: (2026)
by: Guldemir, Numan Halit, et al.
Published: (2026)
Examining the Rat in the Tunnel: Interpretable Multi-Label Classification of Tor-based Malware
by: Karunanayake, Ishan, et al.
Published: (2024)
by: Karunanayake, Ishan, et al.
Published: (2024)
Zero-day attack and ransomware detection
by: Nhlapo, Steven Jabulani, et al.
Published: (2024)
by: Nhlapo, Steven Jabulani, et al.
Published: (2024)
Label-efficient Training Updates for Malware Detection over Time
by: Minnei, Luca, et al.
Published: (2026)
by: Minnei, Luca, et al.
Published: (2026)
Understanding Concept Drift with Deprecated Permissions in Android Malware Detection
by: Sabbah, Ahmed, et al.
Published: (2025)
by: Sabbah, Ahmed, et al.
Published: (2025)
Unraveling the Key of Machine Learning-based Android Malware Detection
by: Liu, Jiahao, et al.
Published: (2024)
by: Liu, Jiahao, et al.
Published: (2024)
Similar Items
-
Ransomware detection using stacked autoencoder for feature selection
by: Nkongolo, Mike, et al.
Published: (2024) -
LLM-FS: Zero-Shot Feature Selection for Effective and Interpretable Malware Detection
by: Gill, Naveen, et al.
Published: (2026) -
A Comparison of Selected Image Transformation Techniques for Malware Classification
by: Agrawal, Rishit, et al.
Published: (2025) -
Trident: Improving Malware Detection with LLMs and Behavioral Features
by: Saul, Rebecca, et al.
Published: (2026) -
Adaptive Malware Detection using Sequential Feature Selection: A Dueling Double Deep Q-Network (D3QN) Framework for Intelligent Classification
by: Khan, Naseem, et al.
Published: (2025)