3 papers
cs.CR2024
FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification under Environment Shifts
Susu Cui, Xueying Han, Dongqi Han +6
Encrypted traffic classification plays a critical role in network security and management. Currently, mining deep patterns from side-channel contents and plaintext fields through n…
cs.CR2023
VeriDIP: Verifying Ownership of Deep Neural Networks through Privacy Leakage Fingerprints
Aoting Hu, Zhigang Lu, Renjie Xie +1
Deploying Machine Learning as a Service gives rise to model plagiarism, leading to copyright infringement. Ownership testing techniques are designed to identify model fingerprints…
cs.CR2023
CBSeq: A Channel-level Behavior Sequence For Encrypted Malware Traffic Detection
Susu Cui, Cong Dong, Meng Shen +3
Machine learning and neural networks have become increasingly popular solutions for encrypted malware traffic detection. They mine and learn complex traffic patterns, enabling dete…