A Novel Reinforcement Learning Model for Post-Incident Malware Investigations
Fuente:
arXiv
Saved in:
| Main Authors: | Dunsin, Dipo, Ghanem, Mohamed Chahine, Ouazzane, Karim, Vassilev, Vassil |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reinforcement Learning for an Efficient and Effective Malware Investigation during Cyber Incident Response
by: Dunsin, Dipo, et al.
Published: (2024)
by: Dunsin, Dipo, et al.
Published: (2024)
A Comprehensive Analysis of the Role of Artificial Intelligence and Machine Learning in Modern Digital Forensics and Incident Response
by: Dunsin, Dipo, et al.
Published: (2023)
by: Dunsin, Dipo, et al.
Published: (2023)
Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learning
by: Basnet, Animesh Singh, et al.
Published: (2024)
by: Basnet, Animesh Singh, et al.
Published: (2024)
MalVol-25: A Diverse, Labelled and Detailed Volatile Memory Dataset for Malware Detection and Response Testing and Validation
by: Dunsin, Dipo, et al.
Published: (2025)
by: Dunsin, Dipo, et al.
Published: (2025)
A Hierarchical Security Events Correlation Model for Real-time Cyber Threat Detection and Response
by: Maosa, Herbert, et al.
Published: (2023)
by: Maosa, Herbert, et al.
Published: (2023)
GenDFIR: Advancing Cyber Incident Timeline Analysis Through Retrieval Augmented Generation and Large Language Models
by: Loumachi, Fatma Yasmine, et al.
Published: (2024)
by: Loumachi, Fatma Yasmine, et al.
Published: (2024)
StegoHound: A Novel Multi-Approaches Method for Efficient and Effective Identification and Extraction of Digital Evidence Masked by Steganographic Techniques in WAV and MP3 Files
by: Ghanem, Mohamed C., et al.
Published: (2023)
by: Ghanem, Mohamed C., et al.
Published: (2023)
A Relay-Chain-Powered Ciphertext-Policy Attribute-Based Encryption in Intelligent Transportation Systems
by: Singh, Aparna, et al.
Published: (2025)
by: Singh, Aparna, et al.
Published: (2025)
A Robust Cross-Domain IDS using BiGRU-LSTM-Attention for Medical and Industrial IoT Security
by: Gueriani, Afrah, et al.
Published: (2025)
by: Gueriani, Afrah, et al.
Published: (2025)
The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning
by: Rigaki, Maria, et al.
Published: (2023)
by: Rigaki, Maria, et al.
Published: (2023)
CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation
by: Feng, Chao, et al.
Published: (2023)
by: Feng, Chao, et al.
Published: (2023)
Hierarchical Graph Neural Network for Compressed Speech Steganalysis
by: Hemis, Mustapha, et al.
Published: (2025)
by: Hemis, Mustapha, et al.
Published: (2025)
SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines
by: Ponte, Andrea, et al.
Published: (2024)
by: Ponte, Andrea, et al.
Published: (2024)
Detecting Android Malware: From Neural Embeddings to Hands-On Validation with BERTroid
by: Chaieb, Meryam, et al.
Published: (2024)
by: Chaieb, Meryam, et al.
Published: (2024)
Learning Temporal Invariance in Android Malware Detectors
by: Zheng, Xinran, et al.
Published: (2025)
by: Zheng, Xinran, et al.
Published: (2025)
Counteracting Concept Drift by Learning with Future Malware Predictions
by: Bosansky, Branislav, et al.
Published: (2024)
by: Bosansky, Branislav, et al.
Published: (2024)
Structural Generalization in Autonomous Cyber Incident Response with Message-Passing Neural Networks and Reinforcement Learning
by: Nyberg, Jakob, et al.
Published: (2024)
by: Nyberg, Jakob, et al.
Published: (2024)
A Unified Evaluation of Learning-Based Similarity Techniques for Malware Detection
by: Prasad, Udbhav, et al.
Published: (2026)
by: Prasad, Udbhav, et al.
Published: (2026)
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
by: Hitaj, Dorjan, et al.
Published: (2024)
by: Hitaj, Dorjan, et al.
Published: (2024)
PBP: Post-training Backdoor Purification for Malware Classifiers
by: Nguyen, Dung Thuy, et al.
Published: (2024)
by: Nguyen, Dung Thuy, et al.
Published: (2024)
Model X-Ray: Detection of Hidden Malware in AI Model Weights using Few Shot Learning
by: Gilkarov, Daniel, et al.
Published: (2024)
by: Gilkarov, Daniel, et al.
Published: (2024)
A Decompilation-Driven Framework for Malware Detection with Large Language Models
by: Chawla, Aniesh, et al.
Published: (2026)
by: Chawla, Aniesh, et al.
Published: (2026)
A Novel Active Learning Approach to Label One Million Unknown Malware Variants
by: Bensaoud, Ahmed, et al.
Published: (2025)
by: Bensaoud, Ahmed, et al.
Published: (2025)
Obfuscated Memory Malware Detection
by: P, Sharmila S, et al.
Published: (2024)
by: P, Sharmila S, et al.
Published: (2024)
Automated Post-Incident Policy Gap Analysis via Threat-Informed Evidence Mapping using Large Language Models
by: Oh, Huan Lin, et al.
Published: (2026)
by: Oh, Huan Lin, et al.
Published: (2026)
Evaluating Ensemble and Deep Learning Models for Static Malware Detection with Dimensionality Reduction Using the EMBER Dataset
by: Abedin, Md Min-Ha-Zul, et al.
Published: (2025)
by: Abedin, Md Min-Ha-Zul, et al.
Published: (2025)
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach
by: Etter, Brian, et al.
Published: (2024)
by: Etter, Brian, et al.
Published: (2024)
Creating Valid Adversarial Examples of Malware
by: Kozák, Matouš, et al.
Published: (2023)
by: Kozák, Matouš, et al.
Published: (2023)
Malware Detection Through Memory Analysis
by: Nassar, Sarah
Published: (2026)
by: Nassar, Sarah
Published: (2026)
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware
by: Walton, Brandon J, et al.
Published: (2025)
by: Walton, Brandon J, et al.
Published: (2025)
Routing-Aware Explanations for Mixture of Experts Graph Models in Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2026)
by: Shokouhinejad, Hossein, et al.
Published: (2026)
Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research
by: Gibert, Daniel
Published: (2024)
by: Gibert, Daniel
Published: (2024)
Assessing the Impact of Packing on Machine Learning-Based Malware Detection and Classification Systems
by: Gibert, Daniel, et al.
Published: (2024)
by: Gibert, Daniel, et al.
Published: (2024)
Deep Learning Based XIoT Malware Analysis: A Comprehensive Survey, Taxonomy, and Research Challenges
by: Darwish, Rami, et al.
Published: (2024)
by: Darwish, Rami, et al.
Published: (2024)
Concept Drift Adaptation Using Self-Supervised and Reinforcement Learning In Android Malware Detection
by: Sabbah, Ahmed, et al.
Published: (2026)
by: Sabbah, Ahmed, et al.
Published: (2026)
LCC-LLM: Leveraging Code-Centric Large Language Models for Malware Attribution
by: Pohlenz, Christopher G. Pedraza, et al.
Published: (2026)
by: Pohlenz, Christopher G. Pedraza, et al.
Published: (2026)
Leveraging LSTM and GAN for Modern Malware Detection
by: Gupta, Ishita, et al.
Published: (2024)
by: Gupta, Ishita, et al.
Published: (2024)
Empirical Quantification of Spurious Correlations in Malware Detection
by: Perasso, Bianca, et al.
Published: (2025)
by: Perasso, Bianca, et al.
Published: (2025)
Semantic Preprocessing for LLM-based Malware Analysis
by: Marais, Benjamin, et al.
Published: (2025)
by: Marais, Benjamin, et al.
Published: (2025)
Automated Malware Family Classification using Weighted Hierarchical Ensembles of Large Language Models
by: Bai, Samita, et al.
Published: (2026)
by: Bai, Samita, et al.
Published: (2026)
Similar Items
-
Reinforcement Learning for an Efficient and Effective Malware Investigation during Cyber Incident Response
by: Dunsin, Dipo, et al.
Published: (2024) -
A Comprehensive Analysis of the Role of Artificial Intelligence and Machine Learning in Modern Digital Forensics and Incident Response
by: Dunsin, Dipo, et al.
Published: (2023) -
Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learning
by: Basnet, Animesh Singh, et al.
Published: (2024) -
MalVol-25: A Diverse, Labelled and Detailed Volatile Memory Dataset for Malware Detection and Response Testing and Validation
by: Dunsin, Dipo, et al.
Published: (2025) -
A Hierarchical Security Events Correlation Model for Real-time Cyber Threat Detection and Response
by: Maosa, Herbert, et al.
Published: (2023)