Abstract:

In the realm of cybersecurity, the continuous evolution of attack strategies demands robust and adaptive Intrusion Detection Systems (IDS). This paper presents a comprehensive study on enhancing IDS performance through a deep learning framework. Initially, classical algorithms including Support Vector Machines (SVM) and Random Forest were evaluated, revealing limitations in detecting dynamic attacks without prior training

Description:

.