6 papers · 1 filter
Moirae: A Multimodal Agent Collaborative Framework for Dynamic Android Malware Detection
Xueying Zeng, Youquan Xian, Yanze Li +9
The Android ecosystem faces persistent and rapidly evolving malware threats. Existing machine learning detectors are vulnerable to concept drift because they rely on implementation…
The Colossus with Feet of Clay: Debunking Encrypted Traffic Classifiers under PQC Evolution
Bingzhen Li, Lingjia Meng, Runhan Song +6
Encrypted traffic classifiers often achieve high accuracy under matched training and testing conditions, implicitly assuming that deployment traffic follows the training distributi…
CipherSight: Robust Website Fingerprinting via Record-Resource Semantic Supervision under Distribution Shifts
Runhan Song, Qiqi Liu, Chuanzhou Pan +6
HTTPS website fingerprinting (WF) aims to identify visited websites from metadata observable in encrypted traffic. However, real-world deployments introduce a significant out-of-di…
MIDS: Detecting Stealthy Masquerade and Tampering Attacks on CAN Bus via Bidirectional Mamba
Qiqi Liu, Runhan Song, Lei Cui +3
The Controller Area Network (CAN) protocol is the primary communication standard for Electronic Control Units (ECUs) in modern vehicles, but its lack of encryption and authenticati…
MARD: A Multi-Agent Framework for Robust Android Malware Detection
Xueying Zeng, Youquan Xian, Sihao Liu +4
With the rapid evolution of Android applications, traditional machine learning-based detection models suffer from concept drift. Additionally, they are constrained by shallow featu…
Efficiently and Effectively: A Two-stage Approach to Balance Plaintext and Encrypted Text for Traffic Classification
Wei Peng, Lei Cui, Wei Cai +3
Encrypted traffic classification is the task of identifying the application or service associated with encrypted network traffic. One effective approach for this task is to use dee…