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cs.CR2026

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…

cs.CR2026

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…

cs.CR2026

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…

cs.CR2026

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…

cs.LG2026

ResAware: Cross-Environment Website Fingerprinting via Resource-Privileged Distillation

Chongru Fan, Wei Wang, Wentao Huang +5

While Website Fingerprinting (WF) attacks achieve high accuracy in controlled laboratory settings, they often degrade substantially in real-world environments due to spatio-tempora…

cs.CR2026

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…