3 accepted papers
Advanced Persistent Threats (APT) differ from traditional attacks by using more complex and covert strategies for long-term assaults, posing a severe threat to organizational and national security. Due to problems like the shortage of APT traffic data and encrypted traffic obfuscation, existing meth…
Leveraging deep learning to detect malicious network traffic is a crucial technology in network management and network security. However, deep learning security has raised concerns among scholars. In this work, we explore executing targeted adversarial attacks for multi-classification malicious traf…
Malicious traffic detection is important for the safe operation of cyberspace. Existing methods are difficult to extract discriminative features, leading to the detection rate bottleneck. In addition, the performance is significantly degraded in sample imbalanced scenarios, with poor generalization…