Lucene search
K

Empirical Evaluation of SMOTE in Android Malware Detection with Machine Learning: Challenges and Performance in CICMalDroid 2020

🗓️ 09 Feb 2026 00:00:00Reported by Andre Augusto Bortoli, Diego Ferreira DuarteType 
packetstormnews
 packetstormnews
🔗 packetstorm.news👁 4 Views

SMOTE often harms Android malware detection with ML on CICMalDroid2020; tree ensembles perform best.

Data

Build on a solid foundation with Vulners data

We provide the essential building blocks for cybersecurity solutions with comprehensive, structured, and constantly updated vulnerability and exploits data

Api

Power your application with Vulners API

The Vulners REST API offers reliable, high-performance access to vulnerability intelligence, with 99.9% SLA uptime and CDN-backed data delivery for seamless global access

App

Assess and manage vulnerabilities with Vulners tools

Built on top of Vulners' database and SDK, end-user solutions give security professionals and developers lightweight and powerful tools for vulnerability remediation