most citedSF-IDS: An Imbalanced Semi-Supervised Learning Framework for Fine-grained Intrusion Detection

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.CRShow all

2 papers · 1 filter

cs.CR2023★ 1 cited

SF-IDS: An Imbalanced Semi-Supervised Learning Framework for Fine-grained Intrusion Detection

Xinran Zheng, Shuo Yang, Xingjun Wang

Deep learning-based fine-grained network intrusion detection systems (NIDS) enable different attacks to be responded to in a fast and targeted manner with the help of large-scale l…

cs.CR2023

A Lightweight Approach for Network Intrusion Detection based on Self-Knowledge Distillation

Shuo Yang, Xinran Zheng, Zhengzhuo Xu +1

Network Intrusion Detection (NID) works as a kernel technology for the security network environment, obtaining extensive research and application. Despite enormous efforts by resea…