
Final-project-SQL-injection-pipeline
Hybrid machine-learning pipelines for detecting SQL injection in web traffic, combining DistilBERT and BERT-GNN models with adversarial training and…

Hybrid machine-learning pipelines for detecting SQL injection in web traffic, combining DistilBERT and BERT-GNN models with adversarial training and…

Practical black-box adversarial packet generation against encrypted traffic classification with minimal overhead and full packet recoverability.

Simulates CVE-2024-38063 TCP/IP remote code execution attack, captures network traffic with TShark, and trains a machine learning model to detect…

FLNET2023 is a dataset designed for intrusion detection in Federated Learning scenarios. It's built using the CORE emulator, simulating a realistic…

Open source entropy based invalid traffic detection and pre-bid filtering.

A package for capturing and analyzing network flow data and intraflow data, for network research, forensics, and security monitoring.

A network packet forensics tool for SSH

Deep Learning models for network traffic classification