Normal &Malicious SQLi
Abstract
This dataset consists of more than 64,000 web request records encompassing both malicious SQL Injection (SQLi) attacks and benign (normal) traffic, curated for the development and evaluation of Intrusion Detection Systems (IDS). The dataset captures a diverse range of SQLi attack patterns alongside legitimate requests, enabling robust experimentation in binary class classification scenarios.
Fields of Study & Subjects
Web Application Security Vulnerabilities
Network Security and Intrusion Detection
Spam and Phishing Detection
Publication details
- Journal / source
- Mendeley Data
- Publication date
- 15 January 2026
- Document type
- Dataset