AndMal2025: Behavioral Android Malware Analysis Dataset
Fuente:
Zenodo
Saved in:
| Main Author: | Daniel Arp |
|---|---|
| Format: | Recurso digital |
| Published: |
Zenodo
2025
|
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond the TESSERACT:Trustworthy Dataset Curation for Sound Evaluations of Android Malware Classifiers
by: Chow, Theo, et al.
Published: (2025)
by: Chow, Theo, et al.
Published: (2025)
MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification
by: Makkawy, Saleh J., et al.
Published: (2025)
by: Makkawy, Saleh J., et al.
Published: (2025)
MalFlows: Context-aware Fusion of Heterogeneous Flow Semantics for Android Malware Detection
by: Meng, Zhaoyi, et al.
Published: (2025)
by: Meng, Zhaoyi, et al.
Published: (2025)
MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks
by: Zhou, Yuyang, et al.
Published: (2023)
by: Zhou, Yuyang, et al.
Published: (2023)
MalGEN: A Testbed for Modeling and Evaluating Malware Behaviors
by: Saha, Bikash, et al.
Published: (2025)
by: Saha, Bikash, et al.
Published: (2025)
On Benchmarking Code LLMs for Android Malware Analysis
by: He, Yiling, et al.
Published: (2025)
by: He, Yiling, et al.
Published: (2025)
RawMal-TF: Raw Malware Dataset Labeled by Type and Family
by: Bálik, David, et al.
Published: (2025)
by: Bálik, David, et al.
Published: (2025)
XAI and Android Malware Models
by: Kulkarni, Maithili, et al.
Published: (2024)
by: Kulkarni, Maithili, et al.
Published: (2024)
TraceRAG: A LLM-Based Framework for Explainable Android Malware Detection and Behavior Analysis
by: Zhang, Guangyu, et al.
Published: (2025)
by: Zhang, Guangyu, et al.
Published: (2025)
Detecting Android Malware by Visualizing App Behaviors from Multiple Complementary Views
by: Meng, Zhaoyi, et al.
Published: (2024)
by: Meng, Zhaoyi, et al.
Published: (2024)
Self-Supervised Learning for Android Malware Detection on a Time-Stamped Dataset
by: Fu, Annan, et al.
Published: (2026)
by: Fu, Annan, et al.
Published: (2026)
Feature-Centric Approaches to Android Malware Analysis: A Survey
by: Maganur, Shama, et al.
Published: (2025)
by: Maganur, Shama, et al.
Published: (2025)
On the Effectiveness of Adversarial Training on Malware Classifiers
by: Bostani, Hamid, et al.
Published: (2024)
by: Bostani, Hamid, et al.
Published: (2024)
Enhancing Android Security: Analyzing Feature Sets in CICAndMal2017 and DroidFussion Datasets
by: Sopuru, Joshua Chibuike
Published: (2022)
by: Sopuru, Joshua Chibuike
Published: (2022)
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)
LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis
by: Haque, Md Ahsanul, et al.
Published: (2025)
by: Haque, Md Ahsanul, et al.
Published: (2025)
Revisiting Android Malware Detectors: an Unbiased Study
by: Anonymous, Authors
Published: (2025)
by: Anonymous, Authors
Published: (2025)
Revisiting Android Malware Detectors: an Unbiased Study
by: Anonymous, Authors
Published: (2025)
by: Anonymous, Authors
Published: (2025)
Learning Temporal Invariance in Android Malware Detectors
by: Zheng, Xinran, et al.
Published: (2025)
by: Zheng, Xinran, 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)
Pack-A-Mal: A Malware Analysis Framework for Open-Source Packages
by: Vu, Duc-Ly, et al.
Published: (2025)
by: Vu, Duc-Ly, et al.
Published: (2025)
Effective and Efficient Android Malware Detection and Category Classification Using the Enhanced KronoDroid Dataset
by: Mudassar Waheed, et al.
Published: (2024)
by: Mudassar Waheed, et al.
Published: (2024)
Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems
by: He, Ping, et al.
Published: (2025)
by: He, Ping, et al.
Published: (2025)
Android Malware Detection: A Machine Leaning Approach
by: Abdulla, Hasan
Published: (2025)
by: Abdulla, Hasan
Published: (2025)
Enhancing Android Malware Detection with Retrieval-Augmented Generation
by: S., Saraga, et al.
Published: (2025)
by: S., Saraga, 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)
Adversarial Patterns: Building Robust Android Malware Classifiers
by: Bhusal, Dipkamal, et al.
Published: (2022)
by: Bhusal, Dipkamal, et al.
Published: (2022)
LAMD: Context-driven Android Malware Detection and Classification with LLMs
by: Qian, Xingzhi, et al.
Published: (2025)
by: Qian, Xingzhi, et al.
Published: (2025)
LAMD: Context-driven Android Malware Detection and Classification with LLMs
by: Qian, Xingzhi, et al.
Published: (2025)
by: Qian, Xingzhi, et al.
Published: (2025)
Synthetic Data: AI's New Weapon Against Android Malware
by: Nogueira, Angelo Gaspar Diniz, et al.
Published: (2025)
by: Nogueira, Angelo Gaspar Diniz, et al.
Published: (2025)
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)
MASKDROID: Robust Android Malware Detection with Masked Graph Representations
by: Zheng, Jingnan, et al.
Published: (2024)
by: Zheng, Jingnan, et al.
Published: (2024)
Multi-label Classification for Android Malware Based on Active Learning
by: Qiao, Qijing, et al.
Published: (2024)
by: Qiao, Qijing, et al.
Published: (2024)
TL‐GNN: Android Malware Detection Using Transfer Learning
by: Ali Raza, et al.
Published: (2024)
by: Ali Raza, 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)
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)
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)
MalCVE: Malware Detection and CVE Association Using Large Language Models
by: Cristea, Eduard Andrei, et al.
Published: (2025)
by: Cristea, Eduard Andrei, et al.
Published: (2025)
Mal-D2GAN: Double-Detector based GAN for Malware Generation
by: Thanh, Nam Hoang, et al.
Published: (2025)
by: Thanh, Nam Hoang, et al.
Published: (2025)
Similar Items
-
Beyond the TESSERACT:Trustworthy Dataset Curation for Sound Evaluations of Android Malware Classifiers
by: Chow, Theo, et al.
Published: (2025) -
MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification
by: Makkawy, Saleh J., et al.
Published: (2025) -
MalFlows: Context-aware Fusion of Heterogeneous Flow Semantics for Android Malware Detection
by: Meng, Zhaoyi, et al.
Published: (2025) -
MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks
by: Zhou, Yuyang, et al.
Published: (2023) -
MalGEN: A Testbed for Modeling and Evaluating Malware Behaviors
by: Saha, Bikash, et al.
Published: (2025)