Empirical Study on Reconnaissance Attacks in SDN-aware Network for Evaluating Cyber Deception

RESEARCH CREW
10:47 28/04/2021
TIN LIÊN QUAN
Malware threatens cybersecurity by enabling data theft, unauthorized access, and extortion. Traditional malware detection systems (MDS) struggle with the increasing volume and complexity of malware. While machine learning (ML) and deep learning (DL) offer promising solutions, they remain vulnerable to adversarial attacks that evade detection. Recent research focuses on developing...