3 citations · 5 across the 4 of their papers we have counts for
5 papers
Research and application of artificial intelligence based webshell detection model: A literature review
Mingrui Ma, Lansheng Han, Chunjie Zhou
Webshell, as the "culprit" behind numerous network attacks, is one of the research hotspots in the field of cybersecurity. However, the complexity, stealthiness, and confusing natu…
HCL-MTSAD: Hierarchical Contrastive Consistency Learning for Accurate Detection of Industrial Multivariate Time Series Anomalies
Haili Sun, Yan Huang, Lansheng Han +2
Multivariate Time Series (MTS) anomaly detection focuses on pinpointing samples that diverge from standard operational patterns, which is crucial for ensuring the safety and securi…
Unsupervised Spatio-Temporal State Estimation for Fine-grained Adaptive Anomaly Diagnosis of Industrial Cyber-physical Systems
Haili Sun, Yan Huang, Lansheng Han +2
Accurate detection and diagnosis of abnormal behaviors such as network attacks from multivariate time series (MTS) are crucial for ensuring the stable and effective operation of in…
Research and application of Transformer based anomaly detection model: A literature review
Mingrui Ma, Lansheng Han, Chunjie Zhou
Transformer, as one of the most advanced neural network models in Natural Language Processing (NLP), exhibits diverse applications in the field of anomaly detection. To inspire res…
Large Language Models are Few-shot Generators: Proposing Hybrid Prompt Algorithm To Generate Webshell Escape Samples
Mingrui Ma, Lansheng Han, Chunjie Zhou
The frequent occurrence of cyber-attacks has made webshell attacks and defense gradually become a research hotspot in the field of network security. However, the lack of publicly a…