LogBERT: Log Anomaly Detection via BERT

7 March 2021

Shuhan Yuan

Papers citing "LogBERT: Log Anomaly Detection via BERT"

50 / 62 papers shown

Title
RuleGenie: SIEM Detection Rule Set Optimization Akansha Shukla Parth A. Gandhi Yuval Elovici A. Shabtai AAML 21 0 0 10 May 2025
From Texts to Shields: Convergence of Large Language Models and Cybersecurity Tao Li Ya-Ting Yang Yunian Pan Quanyan Zhu 34 0 0 01 May 2025
Deep Learning-based Intrusion Detection Systems: A Survey Zhiwei Xu Yujuan Wu Shiheng Wang Jiabao Gao Tian Qiu Ziqi Wang Hai Wan Xibin Zhao 23 1 0 10 Apr 2025
LogLLaMA: Transformer-based log anomaly detection with LLaMA Zhuoyi Yang Ian G. Harris 50 0 0 19 Mar 2025
Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection Ying Fu Lim Jiawen Zhu Guansong Pang 39 0 0 11 Mar 2025
SHIELD: APT Detection and Intelligent Explanation Using LLM Parth Atulbhai Gandhi Prasanna N. Wudali Yonatan Amaru Yuval Elovici A. Shabtai AAML 59 1 0 04 Feb 2025
Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Jiaxing Qi Chang Zeng Zhongzhi Luan Shaohan Huang S. Yang Yao Lu Hailong Yang D. Qian 34 0 0 21 Jan 2025
Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge Yuhe Ji Yilun Liu Feiyu Yao Minggui He Shimin Tao ... Xinhua Yang Weibin Meng Yuming Xie Boxing Chen Hao Yang 73 2 0 02 Dec 2024
TPLogAD: Unsupervised Log Anomaly Detection Based on Event Templates and Key Parameters Jiawei Lu Chengrong Wu 64 1 0 22 Nov 2024
CmdCaliper: A Semantic-Aware Command-Line Embedding Model and Dataset for Security Research Sian-Yao Huang Cheng-Lin Yang C. Lin Chun-Ying Huang 35 1 0 02 Nov 2024
What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach Xingfang Wu Heng Li Foutse Khomh AI4TS 30 0 0 30 Sep 2024
Log2graphs: An Unsupervised Framework for Log Anomaly Detection with Efficient Feature Extraction Caihong Wang Du Xu Zonghang Li 21 0 0 18 Sep 2024
Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study Lingzhe Zhang Tong Jia Kangjin Wang Mengxi Jia Yang Yong Ying Li 22 5 0 07 Sep 2024
Oddballness: universal anomaly detection with language models Filip Graliñski Ryszard Staruch Krzysztof Jurkiewicz 29 1 0 04 Sep 2024
A Comparative Study on Large Language Models for Log Parsing Merve Astekin Max Hort Leon Moonen 43 2 0 04 Sep 2024
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 51 0 0 03 Sep 2024
MistralBSM: Leveraging Mistral-7B for Vehicular Networks Misbehavior Detection Wissal Hamhoum S. Cherkaoui MoE 24 0 0 26 Jul 2024
Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning Hongwei Jin George Papadimitriou Krishnan Raghavan Pawel Zuk Prasanna Balaprakash Cong Wang A. Mandal Ewa Deelman 33 1 0 24 Jul 2024
Convolutional vs Large Language Models for Software Log Classification in Edge-Deployable Cellular Network Testing A. Ihalage Sayed M. Taheri Faris Muhammad Hamed Al-Raweshidy 30 0 0 04 Jul 2024
LLMcap: Large Language Model for Unsupervised PCAP Failure Detection Lukasz Tulczyjew Kinan Jarrah Charles Abondo Dina Bennett Nathanael Weill 19 1 0 03 Jul 2024
RAPID: Robust APT Detection and Investigation Using Context-Aware Deep Learning Yonatan Amaru Prasanna N. Wudali Yuval Elovici A. Shabtai 41 1 0 08 Jun 2024
mABC: multi-Agent Blockchain-Inspired Collaboration for root cause analysis in micro-services architecture Wei Emma Zhang Hongcheng Guo Jian Yang Yi Zhang Chaoran Yan ... Chao Chen Yi Liang Xu Shi Liangfan Zheng Bowei Zhang 42 7 0 18 Apr 2024
FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination Yifei Lin Hanqiu Deng Xingyu Li 27 2 0 12 Apr 2024
Large language models in 6G security: challenges and opportunities Tri Nguyen Huong Nguyen Ahmad Ijaz Saeid Sheikhi Athanasios V. Vasilakos Panos Kostakos ELM 22 7 0 18 Mar 2024
Unsupervised Threat Hunting using Continuous Bag-of-Terms-and-Time (CBoTT) V. Kayhan S. Shivendu R. Behnia Clinton Daniel Manish Agrawal 17 0 0 15 Mar 2024
MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Network Pengzhou Cheng Zongru Wu Gongshen Liu 19 1 0 07 Mar 2024
LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs Yuuki Yamanaka Tomokatsu Takahashi Takuya Minami Yoshiaki Nakajima 9 2 0 16 Feb 2024
Backdoor Attack against One-Class Sequential Anomaly Detection Models He Cheng Shuhan Yuan SILM AAML 19 1 0 15 Feb 2024
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-Wen Zhang 41 1 0 15 Jan 2024
Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis Thorsten Wittkopp Alexander Acker O. Kao 22 0 0 22 Dec 2023
LogShield: A Transformer-based APT Detection System Leveraging Self-Attention Sihat Afnan Mushtari Sadia Shahrear Iqbal Anindya Iqbal 16 1 0 09 Nov 2023
RAPID: Training-free Retrieval-based Log Anomaly Detection with PLM considering Token-level information Gunho No Yukyung Lee H. Kang Pilsung Kang 11 2 0 09 Nov 2023
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 41 23 0 25 Oct 2023
Anomaly Detection of Command Shell Sessions based on DistilBERT: Unsupervised and Supervised Approaches Zefang Liu John Buford 11 4 0 20 Oct 2023
Log Anomaly Detection on EuXFEL Nodes Antonin Sulc Annika Eichler T. Wilksen 21 0 0 13 Oct 2023
LogGPT: Log Anomaly Detection via GPT Xiao Han Shuhan Yuan Mohamed Trabelsi AI4TS 11 19 0 25 Sep 2023
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection Yufei Li Yanchi Liu Haoyu Wang Zhengzhang Chen Wei Cheng Yuncong Chen Wenchao Yu Haifeng Chen Cong Liu 19 5 0 12 Sep 2023
A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-based Anomaly Detection Techniques Max Landauer Florian Skopik Markus Wurzenberger 28 12 0 06 Sep 2023
Language Models for Novelty Detection in System Call Traces Quentin Fournier Daniel Aloise Leandro R. Costa AI4TS 22 4 0 05 Sep 2023
Robust Fraud Detection via Supervised Contrastive Learning M.S Vinay Shuhan Yuan Xintao Wu AAML 28 1 0 19 Aug 2023
Learning Representations on Logs for AIOps Pranjal Gupta Harshit Kumar Debanjana Kar Karan Bhukar Pooja Aggarwal P. Mohapatra 30 11 0 18 Aug 2023
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection George Papadimitriou Hongwei Jin Cong Wang Rajiv Mayani Krishnan Raghavan A. Mandal Prasanna Balaprakash Ewa Deelman 8 3 0 16 Jun 2023
IsoEx: an explainable unsupervised approach to process event logs cyber investigation Pierre Lavieille Ismail Alaoui Hassani Atlas 28 1 0 07 Jun 2023
Vulnerability Detection Using Two-Stage Deep Learning Models Mohamed Mjd Alhafi Mohammad Hammade Khloud Al Jallad 25 1 0 08 May 2023
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 S. Hoi 37 17 0 10 Apr 2023
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning Thorsten Wittkopp Dominik Scheinert Philipp Wiesner Alexander Acker O. Kao AI4TS 18 6 0 25 Jan 2023
ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection Chris Egersdoerfer Dong Dai Di Zhang 16 6 0 19 Jan 2023
Tele-Knowledge Pre-training for Fault Analysis Zhuo Chen Wen Zhang Yufen Huang Mingyang Chen Yuxia Geng ... Song Jiang Zhaoyang Lian Y. Li Lei Cheng Hua-zeng Chen 41 17 0 20 Oct 2022
CAN-BERT do it? Controller Area Network Intrusion Detection System based on BERT Language Model Natasha Alkhatib M. Mushtaq H. Ghauch J. Danger 16 31 0 17 Oct 2022
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations He Cheng Depeng Xu Shuhan Yuan Xintao Wu AI4TS 35 3 0 09 Oct 2022