LogSD: Detecting anomalies from system logs through self-supervised learning and frequency-based masking

- Xie, Yongzheng, Zhang, Hongyu, Babar, Muhammad Ali

Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs

- Zhang, Bo, Zhang, Hongyu, Le, Van-Hoang, Moscato, Pablo, Zhang, Aozhong

Log-based Anomaly Detection with Deep Learning: How Far Are We?

- Le, Van-Hoang, Zhang, Hongyu

LogGD: Detecting Anomalies from System Logs with Graph Neural Networks

- Xie, Yongzheng, Zhang, Hongyu, Babar, Muhammad Ali

A review of time-series anomaly detection techniques: a step to future perspectives

- Shaukat, Kamran, Alam, Talha Mahboob, Luo, Suhuai, Shabbir, Shakir, Hameed, Ibrahim A., Li, Jiaming, Abbas, Syed Konain, Javed, Umair

Log-based Anomaly Detection Without Log Parsing

- Le, Van-Hoang, Zhang, Hongyu

Anomaly detection via mining numerical workflow relations from logs

- Zhang, Bo, Zhang, Hongyu, Moscato, Pablo, Zhang, Aozhong

VMGuard: A VMI-based Security Architecture for Intrusion Detection in Cloud Environment

- Mishra, Preeti, Varadharajan, Vijay, Pilli, Emmanuel S., Tupakula, Uday

Investigating the effects of varying cluster numbers on anomalies detected in mining machines

- Fan, Zongwen, Chiong, Raymond, Hu, Zhongyi, Lin, Yuqing