activity
20242026
most citedSentient: Detecting APTs Via Capturing Indirect Dependencies and Behavioral Logic

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2026

AgentRAE: Remote Action Execution through Notification-based Visual Backdoors against Screenshots-based Mobile GUI Agents

Yutao Luo, Haotian Zhu, Shuchao Pang +4

The rapid adoption of mobile graphical user interface (GUI) agents, which autonomously control applications and operating systems (OS), exposes new system-level attack surfaces. Ex…

cs.CR2026

ProvAgent: Threat Detection Based on Identity-Behavior Binding and Multi-Agent Collaborative Attack Investigation

Wenhao Yan, Ning An, Linxu Li +6

Advanced Persistent Threats (APTs) pose critical challenges to modern cybersecurity due to their multi-stage and stealthy nature. While provenance-based detection approaches show p…

cs.CR2025

Language of Network: A Generative Pre-trained Model for Encrypted Traffic Comprehension

Di Zhao, Bo Jiang, Song Liu +5

The increasing demand for privacy protection and security considerations leads to a significant rise in the proportion of encrypted network traffic. Since traffic content becomes u…

cs.CR2025★ 1 cited

Sentient: Detecting APTs Via Capturing Indirect Dependencies and Behavioral Logic

Wenhao Yan, Ning An, Wei Qiao +5

Advanced Persistent Threats (APTs) are difficult to detect due to their complexity and stealthiness. To mitigate such attacks, many approaches model entities and their relationship…

cs.CR2024

Winemaking: Extracting Essential Insights for Efficient Threat Detection in Audit Logs

Weiheng Wu, Wei Qiao, Wenhao Yan +5

Advanced Persistent Threats (APTs) are continuously evolving, leveraging their stealthiness and persistence to put increasing pressure on current provenance-based Intrusion Detecti…

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…