Lucene search
K

Improving IoT Intrusion Detection through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data

🗓️ 29 May 2026 00:00:00Reported by Haseeb Khan, Muhammad Khuram Shahzad, Mubashra Bibi, Muhammad Masood KhanType 
packetstormnews
 packetstormnews
🔗 packetstorm.news👁 38 Views

Balancing side-channel power data with synthetic minority oversampling improves intrusion detection and minority class analysis.

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