Cover Image

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Makkawy, Saleh J., De Lucia, Michael J., Barner, Kenneth E.
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scaling Up: Revisiting Mining Android Sandboxes at Scale for Malware Classification
by: Costa, Francisco, et al.
Published: (2025)

Multi-label Classification for Android Malware Based on Active Learning
by: Qiao, Qijing, et al.
Published: (2024)

MalFlows: Context-aware Fusion of Heterogeneous Flow Semantics for Android Malware Detection
by: Meng, Zhaoyi, et al.
Published: (2025)

Image-Based Malware Type Classification on MalNet-Image Tiny: Effects of Multi-Scale Fusion, Transfer Learning, Data Augmentation, and Schedule-Free Optimization
by: Abouelkhaire, Ahmed A., et al.
Published: (2026)

Pack-A-Mal: A Malware Analysis Framework for Open-Source Packages
by: Vu, Duc-Ly, et al.
Published: (2025)

Beyond the TESSERACT:Trustworthy Dataset Curation for Sound Evaluations of Android Malware Classifiers
by: Chow, Theo, et al.
Published: (2025)

Malware Classification Based on Image Segmentation
by: Nie, Wanhu
Published: (2024)

Android Malware Detection Based on RGB Images and Multi-feature Fusion
by: Wang, Zhiqiang, et al.
Published: (2024)

RawMal-TF: Raw Malware Dataset Labeled by Type and Family
by: Bálik, David, et al.
Published: (2025)

AndroWasm: an Empirical Study on Android Malware Obfuscation through WebAssembly
by: Soi, Diego, et al.
Published: (2026)

MalGEN: A Testbed for Modeling and Evaluating Malware Behaviors
by: Saha, Bikash, et al.
Published: (2025)

Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware
by: Walton, Brandon J, et al.
Published: (2025)

XAI and Android Malware Models
by: Kulkarni, Maithili, et al.
Published: (2024)

MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification
by: Park, Jimin, et al.
Published: (2025)

PotentRegion4MalDetect: Advanced Features from Potential Malicious Regions for Malware Detection
by: Koppanati, Rama Krishna, et al.
Published: (2025)

Enhancing Android Malware Detection with Retrieval-Augmented Generation
by: S., Saraga, et al.
Published: (2025)

Combating Concept Drift with Explanatory Detection and Adaptation for Android Malware Classification
by: He, Yiling, et al.
Published: (2024)

Feature-Centric Approaches to Android Malware Analysis: A Survey
by: Maganur, Shama, et al.
Published: (2025)

MARD: A Multi-Agent Framework for Robust Android Malware Detection
by: Zeng, Xueying, et al.
Published: (2026)

Quantifying the Generalization Gap: A New Benchmark for Out-of-Distribution Graph-Based Android Malware Classification
by: Tran, Ngoc N., 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)

Self-Supervised Learning for Android Malware Detection on a Time-Stamped Dataset
by: Fu, Annan, et al.
Published: (2026)

MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
by: Li, Jiliang, et al.
Published: (2024)

LAMD: Context-driven Android Malware Detection and Classification with LLMs
by: Qian, Xingzhi, et al.
Published: (2025)

MalCVE: Malware Detection and CVE Association Using Large Language Models
by: Cristea, Eduard Andrei, et al.
Published: (2025)

EarlyMalDetect: A Novel Approach for Early Windows Malware Detection Based on Sequences of API Calls
by: Maniriho, Pascal, et al.
Published: (2024)

DMLDroid: Deep Multimodal Fusion Framework for Android Malware Detection with Resilience to Code Obfuscation and Adversarial Perturbations
by: Trung, Doan Minh, et al.
Published: (2025)

Mal-D2GAN: Double-Detector based GAN for Malware Generation
by: Thanh, Nam Hoang, et al.
Published: (2025)

Benchmarking Android Malware Detection: Traditional vs. Deep Learning Models
by: Liu, Guojun, et al.
Published: (2025)

Measuring and Explaining the Effects of Android App Transformations in Online Malware Detection
by: Meng, Guozhu, et al.
Published: (2025)

Learning Temporal Invariance in Android Malware Detectors
by: Zheng, Xinran, et al.
Published: (2025)

On Benchmarking Code LLMs for Android Malware Analysis
by: He, Yiling, et al.
Published: (2025)

LLM-Generated Samples for Android Malware Detection
by: Rollinson, Nik, et al.
Published: (2025)

FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection
by: Song, Shiwen, et al.
Published: (2025)

MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks
by: Zhou, Yuyang, et al.
Published: (2023)

Advancing Android Privacy Assessments with Automation
by: Khedkar, Mugdha, et al.
Published: (2024)

The Impact of Train-Test Leakage on Machine Learning-based Android Malware Detection
by: Liu, Guojun, et al.
Published: (2024)

Explainable Android Malware Detection and Malicious Code Localization Using Graph Attention
by: Ipek, Merve Cigdem, et al.
Published: (2025)

ThreatIntel-Andro: Expert-Verified Benchmarking for Robust Android Malware Research
by: Bai, Hongpeng, et al.
Published: (2025)

Can you See me? On the Visibility of NOPs against Android Malware Detectors
by: Soi, Diego, et al.
Published: (2023)