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

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

9 February 2022
Van-Hoang Le
Hongyu Zhang
ArXivPDFHTML

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

38 / 38 papers shown
Title
CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift
CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift
Jiongchi Yu
Xiaofei Xie
Q. Hu
Bowen Zhang
Ziming Zhao
Yun Lin
Lei Ma
Ruitao Feng
Frank Liau
48
0
0
12 Apr 2025
Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection
Ying Fu Lim
Jiawen Zhu
Guansong Pang
44
0
0
11 Mar 2025
Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection
Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection
Jiaxing Qi
Chang Zeng
Zhongzhi Luan
Shaohan Huang
Shangshang Yang
Yao Lu
Hailong Yang
D. Qian
44
0
0
21 Jan 2025
Data and System Perspectives of Sustainable Artificial Intelligence
Data and System Perspectives of Sustainable Artificial Intelligence
Tao Xie
D. Harel
Dezhi Ran
Zhenwen Li
Maoliang Li
...
Wentao Zhang
Meng Li
Chenyi Zhang
Linyi Li
Assaf Marron
39
0
0
13 Jan 2025
LogLM: From Task-based to Instruction-based Automated Log Analysis
LogLM: From Task-based to Instruction-based Automated Log Analysis
Yilun Liu
Yuhe Ji
Shimin Tao
Minggui He
Weibin Meng
Shenglin Zhang
Yongqian Sun
Yuming Xie
Boxing Chen
Hao Yang
49
2
0
10 Jan 2025
What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach
What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach
Xingfang Wu
Heng Li
Foutse Khomh
AI4TS
38
0
0
30 Sep 2024
Demystifying and Extracting Fault-indicating Information from Logs for
  Failure Diagnosis
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis
Junjie Huang
Zhihan Jiang
Jinyang Liu
Yintong Huo
Jiazhen Gu
Zhuangbin Chen
Cong Feng
Hui Dong
Zengyin Yang
Michael R. Lyu
33
3
0
20 Sep 2024
Reducing Events to Augment Log-based Anomaly Detection Models: An
  Empirical Study
Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study
Lingzhe Zhang
Tong Jia
Kangjin Wang
Mengxi Jia
Yang Yong
Ying Li
32
5
0
07 Sep 2024
A Comparative Study on Large Language Models for Log Parsing
A Comparative Study on Large Language Models for Log Parsing
Merve Astekin
Max Hort
Leon Moonen
43
3
0
04 Sep 2024
LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
Lipeng Ma
Weidong Yang
Sihang Jiang
Ben Fei
Mingjie Zhou
Shuhao Li
Bo Xu
Bo Xu
Yanghua Xiao
68
0
0
03 Sep 2024
HELP: Hierarchical Embeddings-based Log Parsing
HELP: Hierarchical Embeddings-based Log Parsing
Andy Xu
Arno Gau
52
2
0
15 Aug 2024
LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs
LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs
Yuuki Yamanaka
Tomokatsu Takahashi
Takuya Minami
Yoshiaki Nakajima
16
3
0
16 Feb 2024
MLAD: A Unified Model for Multi-system Log Anomaly Detection
MLAD: A Unified Model for Multi-system Log Anomaly Detection
Runqiang Zang
Hongcheng Guo
Jian Yang
Jiaheng Liu
Zhoujun Li
Tieqiao Zheng
Xu Shi
Liangfan Zheng
Bo Zhang
43
1
0
15 Jan 2024
Semi-supervised learning via DQN for log anomaly detection
Semi-supervised learning via DQN for log anomaly detection
Yingying He
Xiaobing Pei
Lihong Shen
36
1
0
06 Jan 2024
RAPID: Training-free Retrieval-based Log Anomaly Detection with PLM
  considering Token-level information
RAPID: Training-free Retrieval-based Log Anomaly Detection with PLM considering Token-level information
Gunho No
Yukyung Lee
H. Kang
Pilsung Kang
15
2
0
09 Nov 2023
Log-based Anomaly Detection of Enterprise Software: An Empirical Study
Log-based Anomaly Detection of Enterprise Software: An Empirical Study
Nadun Wijesinghe
Hadi Hemmati
14
1
0
31 Oct 2023
RCAgent: Cloud Root Cause Analysis by Autonomous Agents with
  Tool-Augmented Large Language Models
RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models
Zefan Wang
Zichuan Liu
Yingying Zhang
Aoxiao Zhong
Lunting Fan
Lingfei Wu
Qingsong Wen
46
24
0
25 Oct 2023
Anomaly Detection of Command Shell Sessions based on DistilBERT:
  Unsupervised and Supervised Approaches
Anomaly Detection of Command Shell Sessions based on DistilBERT: Unsupervised and Supervised Approaches
Zefang Liu
John Buford
24
4
0
20 Oct 2023
Twin Graph-based Anomaly Detection via Attentive Multi-Modal Learning
  for Microservice System
Twin Graph-based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System
Jun Huang
Yang Yang
Hang Yu
Jianguo Li
Xiao Zheng
AI4TS
21
13
0
07 Oct 2023
Naming Practices of Pre-Trained Models in Hugging Face
Naming Practices of Pre-Trained Models in Hugging Face
Wenxin Jiang
Chingwo Cheung
Mingyu Kim
Heesoo Kim
George K. Thiruvathukal
James C. Davis
CVBM
23
6
0
02 Oct 2023
LogGPT: Log Anomaly Detection via GPT
LogGPT: Log Anomaly Detection via GPT
Xiao Han
Shuhan Yuan
Mohamed Trabelsi
AI4TS
24
19
0
25 Sep 2023
A Critical Review of Common Log Data Sets Used for Evaluation of
  Sequence-based Anomaly Detection Techniques
A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-based Anomaly Detection Techniques
Max Landauer
Florian Skopik
Markus Wurzenberger
36
12
0
06 Sep 2023
LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection
LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection
Jiaxing Qi
Shaohan Huang
Zhongzhi Luan
Carol J. Fung
Hailong Yang
D. Qian
22
26
0
03 Sep 2023
Try with Simpler -- An Evaluation of Improved Principal Component
  Analysis in Log-based Anomaly Detection
Try with Simpler -- An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection
Lin Yang
Jun-Cheng Chen
Shutao Gao
Zhihao Gong
Hongyu Zhang
Yue Kang
Huaan Li
29
3
0
24 Aug 2023
On the Effectiveness of Log Representation for Log-based Anomaly
  Detection
On the Effectiveness of Log Representation for Log-based Anomaly Detection
Xingfang Wu
Heng Li
Foutse Khomh
AI4TS
17
15
0
17 Aug 2023
Interpretable Online Log Analysis Using Large Language Models with
  Prompt Strategies
Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies
Yilun Liu
Shimin Tao
Weibin Meng
Jingyu Wang
Wenbing Ma
Yanqing Zhao
Yuhang Chen
Hao Yang
Yanfei Jiang
Xun Chen
48
24
0
15 Aug 2023
CSCLog: A Component Subsequence Correlation-Aware Log Anomaly Detection
  Method
CSCLog: A Component Subsequence Correlation-Aware Log Anomaly Detection Method
Ling-Hao Chen
Chao Song
Xu Wang
Dachao Fu
Feifei Li
AI4TS
16
0
0
07 Jul 2023
Log-based Anomaly Detection based on EVT Theory with feedback
Log-based Anomaly Detection based on EVT Theory with feedback
Jinyang Liu
Junjie Huang
Yintong Huo
Zhihan Jiang
Jia-Yuan Gu
Zhuangbin Chen
Cong Feng
Minzhi Yan
Michael R. Lyu
16
5
0
08 Jun 2023
Log Parsing: How Far Can ChatGPT Go?
Log Parsing: How Far Can ChatGPT Go?
Van-Hoang Le
Hongyu Zhang
17
35
0
02 Jun 2023
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities
  and Challenges
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges
Qian Cheng
Doyen Sahoo
Amrita Saha
Wenjing Yang
Chenghao Liu
Gerald Woo
Manpreet Singh
Silvio Saverese
Guosheng Lin
42
18
0
10 Apr 2023
LogAI: A Library for Log Analytics and Intelligence
LogAI: A Library for Log Analytics and Intelligence
Qian Cheng
Amrita Saha
Wenjing Yang
Chenghao Liu
Doyen Sahoo
Steven C. H. Hoi
27
5
0
31 Jan 2023
Tele-Knowledge Pre-training for Fault Analysis
Tele-Knowledge Pre-training for Fault Analysis
Zhuo Chen
Wen Zhang
Yufen Huang
Mingyang Chen
Yuxia Geng
...
Song Jiang
Zhaoyang Lian
Yuchen Li
Lei Cheng
Hua-zeng Chen
49
17
0
20 Oct 2022
LogGD:Detecting Anomalies from System Logs by Graph Neural Networks
LogGD:Detecting Anomalies from System Logs by Graph Neural Networks
Yongzhen Xie
Hongyu Zhang
M. Babar
AI4TS
23
20
0
16 Sep 2022
Feature Selection for Fault Detection and Prediction based on Event Log
  Analysis
Feature Selection for Fault Detection and Prediction based on Event Log Analysis
Zhong Li
M. Leeuwen
28
5
0
19 Aug 2022
Deep Learning for Anomaly Detection in Log Data: A Survey
Deep Learning for Anomaly Detection in Log Data: A Survey
Max Landauer
Sebastian Onder
Florian Skopik
Markus Wurzenberger
52
89
0
08 Jul 2022
syslrn: Learning What to Monitor for Efficient Anomaly Detection
syslrn: Learning What to Monitor for Efficient Anomaly Detection
D. Sanvito
G. Siracusano
Sharan Santhanam
Roberto González
Robert Bifulco
8
3
0
29 Mar 2022
LAnoBERT: System Log Anomaly Detection based on BERT Masked Language
  Model
LAnoBERT: System Log Anomaly Detection based on BERT Masked Language Model
Yukyung Lee
Jina Kim
Pilsung Kang
14
79
0
18 Nov 2021
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,373
0
25 Aug 2014
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