UIXPOSE: Mobile Malware Detection via Intention-Behaviour Discrepancy Analysis
Fuente:
arXiv
Guardado en:
| Autores principales: | Pasdar, Amirmohammad, Murray, Toby, Pham, Van-Thuan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Following Dragons: Code Review-Guided Fuzzing
por: Luu, Viet Hoang, et al.
Publicado: (2026)
por: Luu, Viet Hoang, et al.
Publicado: (2026)
Collaborative Zone-Adaptive Zero-Day Intrusion Detection for IoBT
por: Pasdar, Amirmohammad, et al.
Publicado: (2026)
por: Pasdar, Amirmohammad, et al.
Publicado: (2026)
Malware Detection Through Memory Analysis
por: Nassar, Sarah
Publicado: (2026)
por: Nassar, Sarah
Publicado: (2026)
Use of Multi-CNNs for Section Analysis in Static Malware Detection
por: Quertier, Tony, et al.
Publicado: (2024)
por: Quertier, Tony, et al.
Publicado: (2024)
Obfuscated Memory Malware Detection
por: P, Sharmila S, et al.
Publicado: (2024)
por: P, Sharmila S, et al.
Publicado: (2024)
EDEFuzz: A Web API Fuzzer for Excessive Data Exposures
por: Pan, Lianglu, et al.
Publicado: (2023)
por: Pan, Lianglu, et al.
Publicado: (2023)
Empirical Quantification of Spurious Correlations in Malware Detection
por: Perasso, Bianca, et al.
Publicado: (2025)
por: Perasso, Bianca, et al.
Publicado: (2025)
Leveraging LSTM and GAN for Modern Malware Detection
por: Gupta, Ishita, et al.
Publicado: (2024)
por: Gupta, Ishita, et al.
Publicado: (2024)
Semantic Preprocessing for LLM-based Malware Analysis
por: Marais, Benjamin, et al.
Publicado: (2025)
por: Marais, Benjamin, et al.
Publicado: (2025)
Explainable Malware Detection with Tailored Logic Explained Networks
por: Anthony, Peter, et al.
Publicado: (2024)
por: Anthony, Peter, et al.
Publicado: (2024)
SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines
por: Ponte, Andrea, et al.
Publicado: (2024)
por: Ponte, Andrea, et al.
Publicado: (2024)
MAECO-Lite: Modular Ontology for Dynamic Malware Analysis
por: Adams, Zekeri, et al.
Publicado: (2026)
por: Adams, Zekeri, et al.
Publicado: (2026)
Demystifying the Role of Rule-based Detection in AI Systems for Windows Malware Detection
por: Ponte, Andrea, et al.
Publicado: (2025)
por: Ponte, Andrea, et al.
Publicado: (2025)
AI-Powered Algorithms for the Prevention and Detection of Computer Malware Infections
por: Keshava, Rakesh, et al.
Publicado: (2026)
por: Keshava, Rakesh, et al.
Publicado: (2026)
Explainable Attention-Guided Stacked Graph Neural Networks for Malware Detection
por: Shokouhinejad, Hossein, et al.
Publicado: (2025)
por: Shokouhinejad, Hossein, et al.
Publicado: (2025)
Routing-Aware Explanations for Mixture of Experts Graph Models in Malware Detection
por: Shokouhinejad, Hossein, et al.
Publicado: (2026)
por: Shokouhinejad, Hossein, et al.
Publicado: (2026)
Combating Concept Drift with Explanatory Detection and Adaptation for Android Malware Classification
por: He, Yiling, et al.
Publicado: (2024)
por: He, Yiling, et al.
Publicado: (2024)
A Decompilation-Driven Framework for Malware Detection with Large Language Models
por: Chawla, Aniesh, et al.
Publicado: (2026)
por: Chawla, Aniesh, et al.
Publicado: (2026)
A Unified Evaluation of Learning-Based Similarity Techniques for Malware Detection
por: Prasad, Udbhav, et al.
Publicado: (2026)
por: Prasad, Udbhav, et al.
Publicado: (2026)
Detecting Android Malware: From Neural Embeddings to Hands-On Validation with BERTroid
por: Chaieb, Meryam, et al.
Publicado: (2024)
por: Chaieb, Meryam, et al.
Publicado: (2024)
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware
por: Walton, Brandon J, et al.
Publicado: (2025)
por: Walton, Brandon J, et al.
Publicado: (2025)
Evasive Intelligence: Lessons from Malware Analysis for Evaluating AI Agents
por: Aonzo, Simone, et al.
Publicado: (2026)
por: Aonzo, Simone, et al.
Publicado: (2026)
Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research
por: Gibert, Daniel
Publicado: (2024)
por: Gibert, Daniel
Publicado: (2024)
Assessing the Impact of Packing on Machine Learning-Based Malware Detection and Classification Systems
por: Gibert, Daniel, et al.
Publicado: (2024)
por: Gibert, Daniel, et al.
Publicado: (2024)
Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering
por: Jelodar, Hamed, et al.
Publicado: (2025)
por: Jelodar, Hamed, et al.
Publicado: (2025)
CyberSOCEval: Benchmarking LLMs Capabilities for Malware Analysis and Threat Intelligence Reasoning
por: Deason, Lauren, et al.
Publicado: (2025)
por: Deason, Lauren, et al.
Publicado: (2025)
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art
por: Ling, Xiang, et al.
Publicado: (2021)
por: Ling, Xiang, et al.
Publicado: (2021)
On the Consistency of GNN Explanations for Malware Detection
por: Shokouhinejad, Hossein, et al.
Publicado: (2025)
por: Shokouhinejad, Hossein, et al.
Publicado: (2025)
Machine Learning Transferability for Malware Detection
por: Vieira, César, et al.
Publicado: (2026)
por: Vieira, César, et al.
Publicado: (2026)
Creating Valid Adversarial Examples of Malware
por: Kozák, Matouš, et al.
Publicado: (2023)
por: Kozák, Matouš, et al.
Publicado: (2023)
Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models
por: Peng, Zuquan, et al.
Publicado: (2025)
por: Peng, Zuquan, et al.
Publicado: (2025)
Unmasking the Shadows: Pinpoint the Implementations of Anti-Dynamic Analysis Techniques in Malware Using LLM
por: Wang, Haizhou, et al.
Publicado: (2024)
por: Wang, Haizhou, et al.
Publicado: (2024)
Improving Android Malware Detection Through Data Augmentation Using Wasserstein Generative Adversarial Networks
por: Stalin, Kawana, et al.
Publicado: (2024)
por: Stalin, Kawana, et al.
Publicado: (2024)
Deep Learning Based XIoT Malware Analysis: A Comprehensive Survey, Taxonomy, and Research Challenges
por: Darwish, Rami, et al.
Publicado: (2024)
por: Darwish, Rami, et al.
Publicado: (2024)
Explainable Artificial Intelligence (XAI) for Malware Analysis: A Survey of Techniques, Applications, and Open Challenges
por: Manthena, Harikha, et al.
Publicado: (2024)
por: Manthena, Harikha, et al.
Publicado: (2024)
Evaluating Ensemble and Deep Learning Models for Static Malware Detection with Dimensionality Reduction Using the EMBER Dataset
por: Abedin, Md Min-Ha-Zul, et al.
Publicado: (2025)
por: Abedin, Md Min-Ha-Zul, et al.
Publicado: (2025)
Adversarial Evasion in Non-Stationary Malware Detection: Minimizing Drift Signals through Similarity-Constrained Perturbations
por: Acharya, Pawan, et al.
Publicado: (2026)
por: Acharya, Pawan, et al.
Publicado: (2026)
Model X-Ray: Detection of Hidden Malware in AI Model Weights using Few Shot Learning
por: Gilkarov, Daniel, et al.
Publicado: (2024)
por: Gilkarov, Daniel, et al.
Publicado: (2024)
Learning Temporal Invariance in Android Malware Detectors
por: Zheng, Xinran, et al.
Publicado: (2025)
por: Zheng, Xinran, et al.
Publicado: (2025)
Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing
por: Gibert, Daniel, et al.
Publicado: (2024)
por: Gibert, Daniel, et al.
Publicado: (2024)
Ejemplares similares
-
Following Dragons: Code Review-Guided Fuzzing
por: Luu, Viet Hoang, et al.
Publicado: (2026) -
Collaborative Zone-Adaptive Zero-Day Intrusion Detection for IoBT
por: Pasdar, Amirmohammad, et al.
Publicado: (2026) -
Malware Detection Through Memory Analysis
por: Nassar, Sarah
Publicado: (2026) -
Use of Multi-CNNs for Section Analysis in Static Malware Detection
por: Quertier, Tony, et al.
Publicado: (2024) -
Obfuscated Memory Malware Detection
por: P, Sharmila S, et al.
Publicado: (2024)