HTTP Anomaly Detection Using Character-Level 3-Gram TF-IDF and Hybrid TF-IDF–Hashing Representations: A Comparative Study of Machine Learning Models
Web applications are frequent targets of cyberattacks such as SQL injection, cross-site scripting, and command injection, creating a need for accurate and computationally efficient anomaly detection systems. While recent approaches increasingly rely on deep learning and transformer-based architectures, these methods of...