IEEE

A DeepSHAP-Based Adversarial Attack on Machine Learning-Based Network Intrusion Detection

Abstract: We propose an adversarial attack for machine-learning-based network intrusion detection systems that selectively alters only the most influential features. Unlike conventional attacks such ...
IEEE

Adversarial Attack on Deep Learning Model Detecting SQLi in a Constrained Environment

Abstract: SQL Injection (SQLi) attacks remain a significant threat to web applications, necessitating advanced detection mechanisms to combat evolving attack strategies. This paper proposes a novel ...