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What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach
v1v2 (latest)

What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach

30 September 2024
Xingfang Wu
Heng Li
Foutse Khomh
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach"

14 / 14 papers shown
Title
LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
Hongcheng Guo
Jian Yang
Jiaheng Liu
Jiaqi Bai
Boyang Wang
Zhoujun Li
Tieqiao Zheng
Bo Zhang
Junran peng
Qi Tian
81
17
0
09 Jan 2024
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
63
18
0
06 Sep 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
58
16
0
17 Aug 2023
Transformer Language Models without Positional Encodings Still Learn
  Positional Information
Transformer Language Models without Positional Encodings Still Learn Positional Information
Adi Haviv
Ori Ram
Ofir Press
Peter Izsak
Omer Levy
104
128
0
30 Mar 2022
Log-based Anomaly Detection with Deep Learning: How Far Are We?
Log-based Anomaly Detection with Deep Learning: How Far Are We?
Van-Hoang Le
Hongyu Zhang
53
169
0
09 Feb 2022
Log-based Anomaly Detection Without Log Parsing
Log-based Anomaly Detection Without Log Parsing
Van-Hoang Le
Hongyu Zhang
79
184
0
04 Aug 2021
Experience Report: Deep Learning-based System Log Analysis for Anomaly
  Detection
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
Zhuangbin Chen
Jinyang Liu
Wen-Cheng Gu
Yuxin Su
Michael R. Lyu
AI4TS
54
106
0
13 Jul 2021
LogBERT: Log Anomaly Detection via BERT
LogBERT: Log Anomaly Detection via BERT
Haixuan Guo
Shuhan Yuan
Xintao Wu
85
222
0
07 Mar 2021
Self-Attentive Classification-Based Anomaly Detection in Unstructured
  Logs
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs
S. Nedelkoski
Jasmin Bogatinovski
Alexander Acker
Jorge Cardoso
O. Kao
70
129
0
21 Aug 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.3K
12,332
0
27 Aug 2019
Time2Vec: Learning a Vector Representation of Time
Time2Vec: Learning a Vector Representation of Time
Seyed Mehran Kazemi
Rishab Goel
Sepehr Eghbali
J. Ramanan
Jaspreet Sahota
Sanjay Thakur
Stella Wu
Cathal Smyth
Pascal Poupart
Marcus A. Brubaker
AI4TS
80
348
0
11 Jul 2019
Language Modeling with Deep Transformers
Language Modeling with Deep Transformers
Kazuki Irie
Albert Zeyer
Ralf Schluter
Hermann Ney
KELM
97
176
0
10 May 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,324
0
11 Oct 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
805
132,725
0
12 Jun 2017
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