SCAN: Structural Clustering with Adaptive Thresholds for Intelligent and Robust Android Malware Detection under Concept Drift
Abstract
Many machine learning–based Android malware detection often suffers from concept drift, where models trained on historical data fail to generalize to evolving threats. This paper proposes SCAN (Structural Clustering with Ad... | Find, read and cite all the research you need on Tech Science Press
Fields of Study & Subjects
Advanced Malware Detection Techniques
Spam and Phishing Detection
Adversarial Robustness in Machine Learning
Publication details
- Journal / source
- Computer Modeling in Engineering & Sciences
- Volume
- 146
- Issue
- 3
- Pages
- 1–10
- Publication date
- 1 January 2026
- Language
- EN