AndroTruth: A Reliable Benchmark Android Malware Dataset Derived from Technical Expert Reports

arXiv:2510.16835 · cs.CR · Submitted 2025-10-19 · Read on arXiv

cs.CR

Submitted: 2025-10-19

Updated: 2026-09-05

Comments: Accepted by RAID 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Accuracy — 23× in this paper · explained in 1 episode
Benchmark — 21× in this paper · explained in 2 episodes
Aggregation — 9× in this paper · explained in 1 episode
Generalization — 6× in this paper · explained in 13 episodes
Concept Drift — 5× in this paper · explained in 4 episodes
Core — 5× in this paper · explained in 2 episodes
Consistency — 4× in this paper · explained in 3 episodes
Meta-learning — 4× in this paper · explained in 2 episodes
Provenance — 4× in this paper · explained in 3 episodes
Feature Selection — 3× in this paper · explained in 4 episodes
Verification — 3× in this paper · explained in 2 episodes
Robustness — 2× in this paper · explained in 5 episodes
Active Learning — 1× in this paper · explained in 6 episodes
Adaptation — 1× in this paper · explained in 1 episode
Adaptive Sampling — 1× in this paper · explained in 1 episode
Annotation Errors — 1× in this paper · explained in 1 episode
Benchmarking — 1× in this paper · explained in 3 episodes
Clustering — 1× in this paper · explained in 2 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Generalizability — 1× in this paper · explained in 6 episodes
Prompt Engineering — 1× in this paper · explained in 4 episodes
Resource Constraints — 1× in this paper · explained in 3 episodes
Systematic Bias — 1× in this paper · explained in 3 episodes

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