HitAnomaly: Hierarchical Transformers for Anomaly Detection in System Log

Article Properties
Cite
Huang, Shaohan, et al. “HitAnomaly: Hierarchical Transformers for Anomaly Detection in System Log”. IEEE Transactions on Network and Service Management, vol. 17, no. 4, 2020, pp. 2064-76, https://doi.org/10.1109/tnsm.2020.3034647.
Huang, S., Liu, Y., Fung, C., He, R., Zhao, Y., Yang, H., & Luan, Z. (2020). HitAnomaly: Hierarchical Transformers for Anomaly Detection in System Log. IEEE Transactions on Network and Service Management, 17(4), 2064-2076. https://doi.org/10.1109/tnsm.2020.3034647
Huang, Shaohan, Yi Liu, Carol Fung, Rong He, Yining Zhao, Hailong Yang, and Zhongzhi Luan. “HitAnomaly: Hierarchical Transformers for Anomaly Detection in System Log”. IEEE Transactions on Network and Service Management 17, no. 4 (2020): 2064-76. https://doi.org/10.1109/tnsm.2020.3034647.
Huang S, Liu Y, Fung C, He R, Zhao Y, Yang H, et al. HitAnomaly: Hierarchical Transformers for Anomaly Detection in System Log. IEEE Transactions on Network and Service Management. 2020;17(4):2064-76.
Refrences
Title Journal Journal Categories Citations Publication Date
Using of Jaccard coefficient for keywords similarity 2013
Using magpie for request extraction and workload modelling 2004
Real-time log file analysis using the simple event correlator (SEC) 2004
Attention is all you need 2017
Mining invariants from console logs for system problem detection 2010
Citations
Title Journal Journal Categories Citations Publication Date
LogPal: A Generic Anomaly Detection Scheme of Heterogeneous Logs for Network Systems

 Security and Communication Networks
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 1 2023
LogBASA: Log Anomaly Detection Based on System Behavior Analysis and Global Semantic Awareness

 International Journal of Intelligent Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 2023
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science2
Technology: Mechanical engineering and machinery1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
Technology: Engineering (General). Civil engineering (General)1
Science: Science (General): Cybernetics: Information theory1
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication1
Technology: Technology (General): Industrial engineering. Management engineering: Information technology1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled LogBASA: Log Anomaly Detection Based on System Behavior Analysis and Global Semantic Awareness and was published in 2023. The most recent citation comes from a 2023 study titled LogBASA: Log Anomaly Detection Based on System Behavior Analysis and Global Semantic Awareness. This article reached its peak citation in 2023, with 2 citations. It has been cited in 2 different journals. Among related journals, the International Journal of Intelligent Systems cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year