activity
20242026
most citedMulti-view Correlation-aware Network Traffic Detection on Flow Hypergraph

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2026

MemSecBench: Tracking Agent Memory Poisoning from Persistence to Consequence and Repair

Xuanze Chen, Xukang Xie, Wentao Fu +3

Memory systems allow agents to retain and reuse information from past interactions, but they can also let malicious content persist. A malicious instruction crafted by an attacker…

cs.CR2026

Traffic-MoE: A Sparse Foundation Model for Network Traffic Security Analysis

Jiajun Zhou, Changhui Sun, Wentao Fu +3

As adversaries increasingly weaponize encryption and protocol obfuscation to evade traffic detection, traditional methods are rendered obsolete, necessitating deep learning to unma…

cs.CR2025★ 2 cited

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph

Jiajun Zhou, Wentao Fu, Hao Song +2

As the Internet rapidly expands, the increasing complexity and diversity of network activities pose significant challenges to effective network governance and security regulation.…

cs.LG2024

Network Anomaly Traffic Detection via Multi-view Feature Fusion

Song Hao, Wentao Fu, Xuanze Chen +4

Traditional anomalous traffic detection methods are based on single-view analysis, which has obvious limitations in dealing with complex attacks and encrypted communications. In th…

cs.CR2024

EG-ConMix: An Intrusion Detection Method based on Graph Contrastive Learning

Lijin Wu, Shanshan Lei, Feilong Liao +5

As the number of IoT devices increases, security concerns become more prominent. The impact of threats can be minimized by deploying Network Intrusion Detection System (NIDS) by mo…