Tags → #incremental learning

Batch-Incremental Ransomware Detection System Using Deep Learning

Recent advancements in deep learning are enhancing ransomware detection capabilities through a batch-incremental approach that addresses class imbalance and promotes continuous learning in cybersecurity.
Sysmon System Enhances Ransomware Detection and Analysis

Recent research into the Sysmon Incremental Learning System for Ransomware Analysis and Detection (SILRAD) explores innovative strategies for enhancing real-time detection and incident response automation in the face of evolving cyber threats.
Multi-Lingual Framework Developed for Software Vulnerability Detection

Recent research has developed a Multi-Lingual Vulnerability Detection framework aimed at improving the identification of software vulnerabilities across various programming languages.