On the public citation graph

Robust log-based anomaly detection on unstable log data

0 signed · 765 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-73762-9_2openalex-snapshot

Artificial Neural Networks

inferredcites →https://doi.org/10.1007/978-3-662-46578-3_53openalex-snapshot

Anomaly Detection from Log Files Using Data Mining Techniques

inferredcites →https://doi.org/10.1007/978-981-15-1465-4openalex-snapshot

Information Science and Applications ICISA 2019

inferredcites →https://doi.org/10.1007/s10664-017-9518-0openalex-snapshot

Examining the stability of logging statements

inferredcites →https://doi.org/10.1007/s10664-018-9603-zopenalex-snapshot

Studying and detecting log-related issues

inferredcites →https://doi.org/10.1007/s11277-015-3128-1openalex-snapshot

A Dynamic Rule Creation Based Anomaly Detection Method for Identifying Security Breaches in Log Records

inferredcites →https://doi.org/10.1016/0306-4573(88)90021-0openalex-snapshot

Term-weighting approaches in automatic text retrieval

inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot

Deep learning

inferredcites →https://doi.org/10.1079/9781780644110.0088openalex-snapshot

Artificial neural networks.

inferredcites →https://doi.org/10.1109/bigdata.2016.7840733openalex-snapshot

Automated IT system failure prediction: A deep learning approach

inferredcites →https://doi.org/10.1109/dsn.2015.14openalex-snapshot

Detection of Early-Stage Enterprise Infection by Mining Large-Scale Log Data

inferredcites →https://doi.org/10.1109/dsn.2016.66openalex-snapshot

An Evaluation Study on Log Parsing and Its Use in Log Mining

inferredcites →https://doi.org/10.1109/icac.2004.1301345openalex-snapshot

Failure diagnosis using decision trees

inferredcites →https://doi.org/10.1109/icdm.2007.46openalex-snapshot

Failure Prediction in IBM BlueGene/L Event Logs

inferredcites →https://doi.org/10.1109/icdm.2009.60openalex-snapshot

Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis

inferredcites →https://doi.org/10.1109/icpc.2011.47openalex-snapshot

Can Better Identifier Splitting Techniques Help Feature Location?

inferredcites →https://doi.org/10.1109/icse-seip.2019.00021openalex-snapshot

Tools and Benchmarks for Automated Log Parsing

inferredcites →https://doi.org/10.1109/icse.2015.60openalex-snapshot

Learning to Log: Helping Developers Make Informed Logging Decisions

inferredcites →https://doi.org/10.1109/icws.2017.13openalex-snapshot

Drain: An Online Log Parsing Approach with Fixed Depth Tree

inferredcites →https://doi.org/10.1109/ipom.2003.1251233openalex-snapshot

A data clustering algorithm for mining patterns from event logs

inferredcites →https://doi.org/10.1109/issre.2008.48openalex-snapshot

Automated Identification of Failure Causes in System Logs

inferredcites →https://doi.org/10.1109/issre.2015.7381796openalex-snapshot

Experience report: Anomaly detection of cloud application operations using log and cloud metric correlation analysis

inferredcites →https://doi.org/10.1109/issre.2017.43openalex-snapshot

Experience Report: Log Mining Using Natural Language Processing and Application to Anomaly Detection

inferredcites →https://doi.org/10.1109/ms.2015.27openalex-snapshot

Continuous Delivery: Huge Benefits, but Challenges Too

inferredcites →https://doi.org/10.1109/tdsc.2017.2762673openalex-snapshot

Towards Automated Log Parsing for Large-Scale Log Data Analysis

inferredcites →https://doi.org/10.1109/tkde.2011.138openalex-snapshot

A Lightweight Algorithm for Message Type Extraction in System Application Logs

inferredcites →https://doi.org/10.1145/1629575.1629587openalex-snapshot

Detecting large-scale system problems by mining console logs

inferredcites →https://doi.org/10.1145/1755913.1755926openalex-snapshot

Fingerprinting the datacenter

inferredcites →https://doi.org/10.1145/2063576.2063690openalex-snapshot

LogSig

inferredcites →https://doi.org/10.1145/2591062.2591175openalex-snapshot

Where do developers log? an empirical study on logging practices in industry

inferredcites →https://doi.org/10.1145/2889160.2889232openalex-snapshot

Log clustering based problem identification for online service systems

inferredcites →https://doi.org/10.1145/2983323.2983358openalex-snapshot

LogMine

inferredcites →https://doi.org/10.1145/3097983.3098022openalex-snapshot

FLAP

inferredcites →https://doi.org/10.1145/3133956.3134015openalex-snapshot

DeepLog

inferredcites →https://doi.org/10.1145/3217871.3217872openalex-snapshot

Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection

inferredcites →https://doi.org/10.1145/3236024.3236083openalex-snapshot

Identifying impactful service system problems via log analysis

inferredcites →https://doi.org/10.1145/3238147.3238193openalex-snapshot

Characterizing the natural language descriptions in software logging statements

inferredcites →https://doi.org/10.1145/948109.948144openalex-snapshot

Anomaly detection of web-based attacks

inferredcites →https://doi.org/10.1214/aoms/1177729392openalex-snapshot

Stochastic Estimation of the Maximum of a Regression Function

inferredcites →https://doi.org/10.4230/oasics.slate.2021.8openalex-snapshot

Bidirectional LSTM-CRF Models for Sequence Tagging

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4057041openalex-extracted

Timed Pattern-Based Analysis of Failure-Inducing Interactions in Platooning System-of-Systems

inferred← citeshttps://doi.org/10.2139/ssrn.4197677openalex-extracted

Timed Pattern-Based Analysis of Collaboration Failures In Platooning System-of-Systems

inferred← citeshttps://doi.org/10.2139/ssrn.4485216openalex-extracted

Sparse and Semi-Attention Guided Faults Diagnosis Approach for Distributed Online Services

inferred← citeshttps://doi.org/10.2139/ssrn.4526761openalex-extracted

Toward Efficient Anomaly Detection on Edge Devices with Knowledge

inferred← citeshttps://doi.org/10.2139/ssrn.4582921openalex-extracted

inferred← citeshttps://doi.org/10.2139/ssrn.4901396openalex-extracted

Detection of Compromised Functions in a Serverless Cloud Environment

inferred← citeshttps://doi.org/10.1002/9781119835905.ch2openalex-snapshot

When Network and Security Management Meets AI and Machine Learning

inferred← citeshttps://doi.org/10.1002/9781119835905.ch7openalex-snapshot

Context‐Aware Learning for Robust Anomaly Detection *

inferred← citeshttps://doi.org/10.1002/9781119835905.ch8openalex-snapshot

Anomaly Classification with Unknown, Imbalanced and Few Labeled Log Data

inferred← citeshttps://doi.org/10.1002/nem.2195openalex-snapshot

amulog: A general log analysis framework for comparison and combination of diverse template generation methods*

inferred← citeshttps://doi.org/10.1002/nem.2251openalex-snapshot

Assessing the impact of bag‐of‐words versus word‐to‐vector embedding methods and dimension reduction on anomaly detection from log files

inferred← citeshttps://doi.org/10.1002/smr.2426openalex-snapshot

FlexParser—The adaptive log file parser for continuous results in a changing world

inferred← citeshttps://doi.org/10.1002/smr.2650openalex-snapshot

Log‐based anomaly detection for distributed systems: State of the art, industry experience, and open issues

inferred← citeshttps://doi.org/10.1007/978-3-030-67667-4_8openalex-snapshot

Self-supervised Log Parsing

inferred← citeshttps://doi.org/10.1007/978-3-030-74450-2_2openalex-snapshot

Survey on Log Clustering Approaches

inferred← citeshttps://doi.org/10.1007/978-3-030-82153-1_19openalex-snapshot

LogAttn: Unsupervised Log Anomaly Detection with an AutoEncoder Based Attention Mechanism

inferred← citeshttps://doi.org/10.1007/978-3-030-82199-9_52openalex-snapshot

sBiLSAN: Stacked Bidirectional Self-attention LSTM Network for Anomaly Detection and Diagnosis from System Logs

inferred← citeshttps://doi.org/10.1007/978-3-030-86472-9_31openalex-snapshot

Log-Based Anomaly Detection with Multi-Head Scaled Dot-Product Attention Mechanism

inferred← citeshttps://doi.org/10.1007/978-3-030-91431-8_46openalex-snapshot

LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision

inferred← citeshttps://doi.org/10.1007/978-3-030-91431-8_50openalex-snapshot

Sprelog: Log-Based Anomaly Detection with Self-matching Networks and Pre-trained Models

inferred← citeshttps://doi.org/10.1007/978-3-031-06746-4_5openalex-snapshot

Improved Software Reliability Through Failure Diagnosis Based on Clues from Test and Production Logs

inferred← citeshttps://doi.org/10.1007/978-3-031-08270-2_3openalex-snapshot

Vulnerability Management in IIoT-Based Systems: What, Why and How

inferred← citeshttps://doi.org/10.1007/978-3-031-14135-5_11openalex-snapshot

Log Attention – Assessing Software Releases with Attention-Based Log Anomaly Detection

inferred← citeshttps://doi.org/10.1007/978-3-031-14135-5_12openalex-snapshot

A Taxonomy of Anomalies in Log Data

inferred← citeshttps://doi.org/10.1007/978-3-031-16302-9_3openalex-snapshot

Real-Time Anomaly Detection for Distributed Systems Logs Using Apache Kafka and H2O.ai

inferred← citeshttps://doi.org/10.1007/978-3-031-19214-2_41openalex-snapshot

LogLR: A Log Anomaly Detection Method Based on Logical Reasoning

inferred← citeshttps://doi.org/10.1007/978-3-031-30678-5_36openalex-snapshot

LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph Construction

inferred← citeshttps://doi.org/10.1007/978-3-031-49266-2_19openalex-snapshot

Log Drift Impact on Online Anomaly Detection Workflows

inferred← citeshttps://doi.org/10.1007/978-3-031-70259-4_7openalex-snapshot

An Automated and Verbose Approach for Detecting Anomalies in Cloud Computing Platform Using Logs

inferred← citeshttps://doi.org/10.1007/978-3-031-73699-5_10openalex-snapshot

Anomaly Detection of Unstable Log Data Based on Contrastive Learning

inferred← citeshttps://doi.org/10.1007/978-3-031-78166-7_23openalex-snapshot

Optimizing Software Release Management with GPT-Enabled Log Anomaly Detection

inferred← citeshttps://doi.org/10.1007/978-3-031-90900-9_4openalex-snapshot

VOCE: A Virtual On-Call Engineer for Automated Alert Incident Analysis Using a Large Language Model

inferred← citeshttps://doi.org/10.1007/978-3-031-94892-3_11openalex-snapshot

Semi-supervised Log Anomaly Detection Method Based on Uncertainty-Aware Self-training

inferred← citeshttps://doi.org/10.1007/978-3-032-01823-6_5openalex-snapshot

United We Log, Divided We Identify: A Decentralized Approach for Automated Log Analysis

inferred← citeshttps://doi.org/10.1007/978-3-032-04624-6_32openalex-snapshot

Large Language Models for Online Log Parsing in AIOps

inferred← citeshttps://doi.org/10.1007/978-3-032-18132-9_3openalex-snapshot

LogREx: Reasoning-Enabled LLM and Knowledge Graph Based Anomaly Detection in System Logs

inferred← citeshttps://doi.org/10.1007/978-3-032-19963-8_26openalex-snapshot

Enhancing LightLog with BERT-Based Contextual Embeddings

inferred← citeshttps://doi.org/10.1007/978-3-032-23450-6_24openalex-snapshot

Log Anomaly Detection Based on Time-Delta Sequential Feature

inferred← citeshttps://doi.org/10.1007/978-3-032-30518-3_37openalex-snapshot

LADDM: A Flexible Tool for Log Anomaly Detection

inferred← citeshttps://doi.org/10.1007/978-3-032-32726-0_14openalex-snapshot

NovaADLS: Semi-supervised Anomaly Detection in Log Series

inferred← citeshttps://doi.org/10.1007/978-3-032-37218-5_37openalex-snapshot

DREAMER: Domain-oriented Realistic Emulation for Attack Monitoring and Evaluation Research

inferred← citeshttps://doi.org/10.1007/978-3-032-39823-9_16openalex-snapshot

SparkADLS: Robust Semi-supervised Anomaly Detection in Log Series

inferred← citeshttps://doi.org/10.1007/978-981-16-5685-9_48openalex-snapshot

Unstructured Log Analysis for System Anomaly Detection—A Study

inferred← citeshttps://doi.org/10.1007/978-981-19-9228-5_24openalex-snapshot

Improving Classification-Based Log Analysis Using Vectorization Techniques

inferred← citeshttps://doi.org/10.1007/978-981-33-6981-8_6openalex-snapshot

Software Log Anomaly Detection Method Using HTM Algorithm

inferred← citeshttps://doi.org/10.1007/978-981-92-2584-2_22openalex-snapshot

GENLog: Enhance Generalization to Log-Based Anomaly Detection

inferred← citeshttps://doi.org/10.1007/978-981-92-2868-3_12openalex-snapshot

Log Anomaly Detection in Kubernetes Using Graph Neural Networks and Retrieval-Augmented Generation

inferred← citeshttps://doi.org/10.1007/978-981-92-3018-1_10openalex-snapshot

ShellMamba: Anomaly Detection of Shell Command Sequences

inferred← citeshttps://doi.org/10.1007/978-981-92-3391-5_27openalex-snapshot

LogAMF: Adaptive Multi-Feature Fusion for Log Anomaly Detection

inferred← citeshttps://doi.org/10.1007/978-981-95-7826-9_17openalex-snapshot

EM-Merge: Consolidating Fragmented Templates in LLM Log Parsing

inferred← citeshttps://doi.org/10.1007/978-981-96-2186-6_14openalex-snapshot

Generalizable and Robust Log Anomaly Detection Based on Transformer

inferred← citeshttps://doi.org/10.1007/978-981-96-2417-1_4openalex-snapshot

LogSHIELD: A Graph-Based Real-Time Anomaly Detection Framework Using Frequency Analysis

inferred← citeshttps://doi.org/10.1007/978-981-96-4285-4_27openalex-snapshot

Log-Based Representation Transferable Learning for Cross-System Anomaly Detection

inferred← citeshttps://doi.org/10.1007/978-981-96-4509-1_18openalex-snapshot

CGP-Mamba: An Intrusion Detection Method Based on State Space Model

inferred← citeshttps://doi.org/10.1007/978-981-96-8298-0_26openalex-snapshot

Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection

inferred← citeshttps://doi.org/10.1007/978-981-96-9815-8_6openalex-snapshot

Logcode: Source Code-Driven Log Parsing for Rare Patterns

inferred← citeshttps://doi.org/10.1007/978-981-97-0088-2_6openalex-snapshot

Advanced Techniques for Digital Evidence Preservation: The Power of Blockchain and Machine Learning

inferred← citeshttps://doi.org/10.1007/978-981-97-0808-6_24openalex-snapshot

Log Anomaly Detection Based on Semantic Features and Topic Features

inferred← citeshttps://doi.org/10.1007/978-981-97-0945-8_3openalex-snapshot

TAElog: A Novel Transformer AutoEncoder-Based Log Anomaly Detection Method

inferred← citeshttps://doi.org/10.1007/978-981-97-1260-1_18openalex-snapshot

0A Comprehensive Review on Anomaly Detection Techniques for Web Data Logging

inferred← citeshttps://doi.org/10.1007/978-981-97-5779-4_33openalex-snapshot

Few-Shot Log Analysis with Prompt-Based Multi-task Transfer Learning

inferred← citeshttps://doi.org/10.1007/978-981-97-7184-4_17openalex-snapshot

Unsupervised Microservice Log Anomaly Detection Method Based on Graph Neural Network

inferred← citeshttps://doi.org/10.1007/978-981-97-7244-5_1openalex-snapshot

TWLog: Task Workflow-Based Log Anomaly Detection

inferred← citeshttps://doi.org/10.1007/978-981-99-6886-2_44openalex-snapshot

A Distributed Processing Method for Large Scale Logs

inferred← citeshttps://doi.org/10.1007/978-981-99-7019-3_6openalex-snapshot

An Anomaly Detection Framework for System Logs Based on Ensemble Learning

inferred← citeshttps://doi.org/10.1007/978-981-99-7587-7_13openalex-snapshot

An Assessment of ChatGPT on Log Data

inferred← citeshttps://doi.org/10.1007/978-981-99-8070-3_16openalex-snapshot

ASGNet: Adaptive Semantic Gate Networks for Log-Based Anomaly Diagnosis

inferred← citeshttps://doi.org/10.1007/978-981-99-8664-4_4openalex-snapshot

Graph-Based Log Anomaly Detection via Adversarial Training

inferred← citeshttps://doi.org/10.1007/978-981-99-9179-2_34openalex-snapshot

Analyzing System Logs of Big Data Distributed Environment: A Review

inferred← citeshttps://doi.org/10.1007/s00521-024-09918-1openalex-snapshot

MADMM: microservice system anomaly detection via multi-modal data and multi-feature extraction

inferred← citeshttps://doi.org/10.1007/s00778-024-00843-2openalex-snapshot

Hilogx: noise-aware log-based anomaly detection with human feedback

inferred← citeshttps://doi.org/10.1007/s10009-022-00647-1openalex-snapshot

Software test results exploration and visualization with continuous integration and nightly testing

inferred← citeshttps://doi.org/10.1007/s10115-023-01953-zopenalex-snapshot

Online log parsing using evolving research tree

inferred← citeshttps://doi.org/10.1007/s10115-025-02572-6openalex-snapshot

Few-shot anomaly detection and classification through reinforced data selection with a combinatorial reward

inferred← citeshttps://doi.org/10.1007/s10115-025-02604-1openalex-snapshot

X-HEART: eXplainable heterogeneous log anomaly detection using robust transformers

inferred← citeshttps://doi.org/10.1007/s10207-024-00977-yopenalex-snapshot

Enhancing time-series access control using deep recurrent neural networks and generative adversarial networks

inferred← citeshttps://doi.org/10.1007/s10489-025-06681-1openalex-snapshot

Multi-modal anomaly detection for microservice system through nested graph diffusion reconstruction

inferred← citeshttps://doi.org/10.1007/s10515-022-00365-7openalex-snapshot

SiaLog: detecting anomalies in software execution logs using the siamese network

inferred← citeshttps://doi.org/10.1007/s10515-022-00370-wopenalex-snapshot

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

inferred← citeshttps://doi.org/10.1007/s10515-024-00428-xopenalex-snapshot

OneLog: towards end-to-end software log anomaly detection

inferred← citeshttps://doi.org/10.1007/s10515-024-00435-yopenalex-snapshot

Mitigating the impact of mislabeled data on deep predictive models: an empirical study of learning with noise approaches in software engineering tasks

inferred← citeshttps://doi.org/10.1007/s10515-025-00527-3openalex-snapshot

What information contributes to log-based anomaly detection? Insights from a configurable transformer-based approach

inferred← citeshttps://doi.org/10.1007/s10515-025-00548-yopenalex-snapshot

Improving anomaly detection in software logs through hybrid language modeling and reduced reliance on parser

inferred← citeshttps://doi.org/10.1007/s10586-025-05535-2openalex-snapshot

Enhanced anomaly detection in log-based systems using GAN-based models

inferred← citeshttps://doi.org/10.1007/s10618-025-01182-8openalex-snapshot

Detecting anomalies in log files using the Damerau-Levenshtein distance metric

inferred← citeshttps://doi.org/10.1007/s10664-022-10214-6openalex-snapshot

An empirical study of the impact of log parsers on the performance of log-based anomaly detection

inferred← citeshttps://doi.org/10.1007/s10664-023-10364-1openalex-snapshot

On the effectiveness of log representation for log-based anomaly detection

inferred← citeshttps://doi.org/10.1007/s10664-024-10501-4openalex-snapshot

Systematic Evaluation of Deep Learning Models for Log-based Failure Prediction

inferred← citeshttps://doi.org/10.1007/s10664-024-10533-wopenalex-snapshot

Impact of log parsing on deep learning-based anomaly detection

inferred← citeshttps://doi.org/10.1007/s10664-024-10572-3openalex-snapshot

Collaboration failure analysis in cyber-physical system-of-systems using context fuzzy clustering

inferred← citeshttps://doi.org/10.1007/s10664-025-10669-3openalex-snapshot

A comprehensive study of machine learning techniques for log-based anomaly detection

inferred← citeshttps://doi.org/10.1007/s10664-025-10701-6openalex-snapshot

LogEval: A comprehensive benchmark suite for LLMs in log analysis

inferred← citeshttps://doi.org/10.1007/s10791-026-10253-3openalex-snapshot

Distributed log anomaly detection method based on improved HDBSCAN

inferred← citeshttps://doi.org/10.1007/s10796-020-10017-4openalex-snapshot

DeepRan: Attention-based BiLSTM and CRF for Ransomware Early Detection and Classification

inferred← citeshttps://doi.org/10.1007/s10922-025-09912-5openalex-snapshot

LogAnomEX: An Unsupervised Log Anomaly Detection Method Based on Electra-DP and Gated Bilinear Neural Networks

inferred← citeshttps://doi.org/10.1007/s10922-025-09995-0openalex-snapshot

KANAD: Topologically Adaptive Graph Feature Learning for Multimodal Anomaly Detection in Microservice Systems

inferred← citeshttps://doi.org/10.1007/s11036-021-01832-3openalex-snapshot

A Survey On Log Research Of AIOps: Methods and Trends

inferred← citeshttps://doi.org/10.1007/s11219-024-09670-8openalex-snapshot

KAD: a knowledge formalization-based anomaly detection approach for distributed systems

inferred← citeshttps://doi.org/10.1007/s11227-022-04508-1openalex-snapshot

Robust log anomaly detection based on contrastive learning and multi-scale MASS

inferred← citeshttps://doi.org/10.1007/s11227-023-05379-wopenalex-snapshot

TeleDAL: a regression-based template-less unsupervised method for finding anomalies in log sequences

inferred← citeshttps://doi.org/10.1007/s11227-024-06850-yopenalex-snapshot

LogSD: log anomaly detection via topic words awareness semantic augmentation and category-guided Mixup data augmentation

inferred← citeshttps://doi.org/10.1007/s11227-025-06926-3openalex-snapshot

LogCTBL: a hybrid deep learning model for log-based anomaly detection

inferred← citeshttps://doi.org/10.1007/s11280-023-01174-yopenalex-snapshot

SSDLog: a semi-supervised dual branch model for log anomaly detection

inferred← citeshttps://doi.org/10.1007/s11760-024-03327-6openalex-snapshot

Log anomaly detection based on BERT

inferred← citeshttps://doi.org/10.1007/s42514-025-00266-7openalex-snapshot

A survey of anomaly detection in HPC systems using machine learning

inferred← citeshttps://doi.org/10.1007/s42979-023-01676-6openalex-snapshot

Log Anomaly Detection Using Sequential Convolution Neural Networks and Dual-LSTM Model

inferred← citeshttps://doi.org/10.1007/s44443-025-00399-3openalex-snapshot

GNN-driven dynamic access control for context-embedded neighborhood fusion

inferred← citeshttps://doi.org/10.1007/s44443-026-01193-5openalex-snapshot

Topo-MFP: Topology-aware multimodal propagation learning for fault detection and root cause localization in microservice systems

inferred← citeshttps://doi.org/10.1016/j.array.2025.100543openalex-snapshot

LogERT:Stable log template mining method based on evolving re-search trees

inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110689openalex-snapshot

LAnoBERT: System log anomaly detection based on BERT masked language model

inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110911openalex-snapshot

Sparse and semi-attention guided faults diagnosis approach for distributed online services

inferred← citeshttps://doi.org/10.1016/j.asoc.2024.111314openalex-snapshot

A robust Wide & Deep learning framework for log-based anomaly detection

inferred← citeshttps://doi.org/10.1016/j.cogr.2021.10.001openalex-snapshot

Large scale log anomaly detection via spatial pooling

inferred← citeshttps://doi.org/10.1016/j.comnet.2021.108616openalex-snapshot

LightLog: A lightweight temporal convolutional network for log anomaly detection on the edge

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2021.107433openalex-snapshot

Anomaly detection on software log based on Temporal Memory

inferred← citeshttps://doi.org/10.1016/j.cose.2020.101739openalex-snapshot

System log clustering approaches for cyber security applications: A survey

inferred← citeshttps://doi.org/10.1016/j.cose.2024.104126openalex-snapshot

LaAeb: A comprehensive log-text analysis based approach for insider threat detection

inferred← citeshttps://doi.org/10.1016/j.cose.2024.104261openalex-snapshot

Detection of compromised functions in a serverless cloud environment

inferred← citeshttps://doi.org/10.1016/j.cose.2024.104263openalex-snapshot

AJSAGE: A intrusion detection scheme based on Jump-Knowledge Connection To GraphSAGE

inferred← citeshttps://doi.org/10.1016/j.cose.2024.104270openalex-snapshot

CyberShapley: Explanation, prioritization, and triage of cybersecurity alerts using informative graph representation

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.110524openalex-snapshot

A novel malware detection method based on audit logs and graph neural network

inferred← citeshttps://doi.org/10.1016/j.engappai.2026.113861openalex-snapshot

Dinspector: Dual factor graph attention mechanism for Advanced Persistent Threat detection

inferred← citeshttps://doi.org/10.1016/j.engappai.2026.115345openalex-snapshot

A graph-based file-level anomaly detection framework for system logs

inferred← citeshttps://doi.org/10.1016/j.engappai.2026.115443openalex-snapshot

SHIELD: Advanced persistent threats detection and intelligent explanation using large language models

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121675openalex-snapshot

Multi-source data based anomaly detection through temporal and spatial characteristics

inferred← citeshttps://doi.org/10.1016/j.future.2021.05.024openalex-snapshot

LogNADS: Network anomaly detection scheme based on log semantics representation

inferred← citeshttps://doi.org/10.1016/j.future.2024.03.028openalex-snapshot

LogETA: Time-aware cross-system log-based anomaly detection with inter-class boundary optimization

inferred← citeshttps://doi.org/10.1016/j.hcc.2021.100030openalex-snapshot

An unsupervised anomaly detection framework for detecting anomalies in real time through network system’s log files analysis

inferred← citeshttps://doi.org/10.1016/j.infsof.2024.107546openalex-snapshot

XDrain: Effective log parsing in log streams using fixed-depth forest

inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107743openalex-snapshot

SemiRALD: A semi-supervised hybrid language model for robust Anomalous Log Detection

inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107869openalex-snapshot

SemiSMAC: A semi-supervised framework for log anomaly detection with automated hyperparameter tuning

inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108105openalex-snapshot

Robust and efficient log anomaly detection: A hybrid ID-semantic approach for evolving systems

inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108199openalex-snapshot

Log-based anomaly detection for evolving software: An incremental deep-learning approach

inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108205openalex-snapshot

Industrial log analysis revisited: A task-oriented evaluation of parsing and anomaly detection under real-world constraints

inferred← citeshttps://doi.org/10.1016/j.ins.2023.119576openalex-snapshot

Discrete log anomaly detection: A novel time-aware graph-based link prediction approach

inferred← citeshttps://doi.org/10.1016/j.jbi.2024.104605openalex-snapshot

EHR-BERT: A BERT-based model for effective anomaly detection in electronic health records

inferred← citeshttps://doi.org/10.1016/j.jisa.2022.103248openalex-snapshot

Multi-datasource machine learning in intrusion detection: Packet flows, system logs and host statistics

inferred← citeshttps://doi.org/10.1016/j.jisa.2023.103625openalex-snapshot

Host-based intrusion detection with multi-datasource and deep learning

inferred← citeshttps://doi.org/10.1016/j.jksuci.2023.02.010openalex-snapshot

Framework for automatic detection of anomalies in DevOps

inferred← citeshttps://doi.org/10.1016/j.jss.2023.111613openalex-snapshot

Timed pattern-based analysis of collaboration failures in system-of-systems

inferred← citeshttps://doi.org/10.1016/j.jss.2023.111646openalex-snapshot

Self-supervised log parsing using semantic contribution difference

inferred← citeshttps://doi.org/10.1016/j.jss.2024.112146openalex-snapshot

End-to-end log statement generation at block-level

inferred← citeshttps://doi.org/10.1016/j.jss.2024.112305openalex-snapshot

LogOW: A semi-supervised log anomaly detection model in open-world setting

inferred← citeshttps://doi.org/10.1016/j.jss.2026.112892openalex-snapshot

LogNER: Enhancing log semantics with LLM-driven entity recognition

inferred← citeshttps://doi.org/10.1016/j.jss.2026.112916openalex-snapshot

InterpLog: Interpretable log-based anomaly detection assisting troubleshooting for system reliability

inferred← citeshttps://doi.org/10.1016/j.jss.2026.112990openalex-snapshot

DTraComp: Comparing distributed execution traces for understanding intermittent latency sources

inferred← citeshttps://doi.org/10.1016/j.mlwa.2023.100470openalex-snapshot

Deep learning for anomaly detection in log data: A survey

inferred← citeshttps://doi.org/10.1016/j.mlwa.2024.100554openalex-snapshot

Anomaly detection in log-event sequences: A federated deep learning approach and open challenges

inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106680openalex-snapshot

DualAttlog: Context aware dual attention networks for log-based anomaly detection

inferred← citeshttps://doi.org/10.1016/j.procs.2026.02.029openalex-snapshot

Efficient Cyberattack Detection in Logs of Cyber-Physical Production Systems

inferred← citeshttps://doi.org/10.1038/s41598-025-22208-7openalex-snapshot

System log anomaly detection based on contrastive learning and retrieval augmented

inferred← citeshttps://doi.org/10.1038/s41598-025-27693-4openalex-snapshot

A unified framework for detecting point and collective anomalies in operating system logs via collaborative transformers

inferred← citeshttps://doi.org/10.1049/sfw2.12121openalex-snapshot

Bayesian Network analysis of software logs for data‐driven software maintenance

inferred← citeshttps://doi.org/10.1051/itmconf/20258001039openalex-snapshot

Leveraging Large Language Models for Log Anomaly Detection: Case Studies and Comparative Analysis

inferred← citeshttps://doi.org/10.1080/08839514.2022.2145642openalex-snapshot

BERT-Log: Anomaly Detection for System Logs Based on Pre-trained Language Model

inferred← citeshttps://doi.org/10.1080/08839514.2024.2440692openalex-snapshot

System Logs Anomaly Detection. Are we on the right path?

inferred← citeshttps://doi.org/10.1080/1206212x.2024.2441147openalex-snapshot

Unveiling anomalies: transformative insights from transformer-based autoencoder models

inferred← citeshttps://doi.org/10.1108/idd-06-2020-0060openalex-snapshot

Bibliometric survey of IT Infrastructure Management to Avoid Failure Conditions

inferred← citeshttps://doi.org/10.1109/2575-8411.2026.00050openalex-snapshot

Falconf: Configuration Error Diagnosis via Log Sequence Learning and Automated Misconfiguration Injections

inferred← citeshttps://doi.org/10.1109/aaiml67890.2026.11498111openalex-snapshot

LLMDebug: Prompt-Engineered Large Language Models for Automated Root Cause Analysis in Microservices Architectures

inferred← citeshttps://doi.org/10.1109/access.2020.2972691openalex-snapshot

Efficient and Robust Syslog Parsing for Network Devices in Datacenter Networks

inferred← citeshttps://doi.org/10.1109/access.2021.3076897openalex-snapshot

LogM: Log Analysis for Multiple Components of Hadoop Platform

inferred← citeshttps://doi.org/10.1109/access.2021.3128283openalex-snapshot

IT Infrastructure Anomaly Detection and Failure Handling: A Systematic Literature Review Focusing on Datasets, Log Preprocessing, Machine & Deep Learning Approaches and Automated Tool

inferred← citeshttps://doi.org/10.1109/access.2022.3141161openalex-snapshot

AnomalyAdapters: Parameter-Efficient Multi-Anomaly Task Detection

inferred← citeshttps://doi.org/10.1109/access.2022.3150342openalex-snapshot

System Failure Detection Using Deep Learning Models Integrating Timestamps With Nonuniform Intervals

inferred← citeshttps://doi.org/10.1109/access.2022.3152549openalex-snapshot

Landscape of Automated Log Analysis: A Systematic Literature Review and Mapping Study

inferred← citeshttps://doi.org/10.1109/access.2023.3247446openalex-snapshot

Time-Weighted Cumulative LSTM Method Using Log Data for Predicting Credit Card Customer Turnover

inferred← citeshttps://doi.org/10.1109/access.2023.3266990openalex-snapshot

The Sub-Sequence Summary Method for Detecting Anomalies in Logs

inferred← citeshttps://doi.org/10.1109/access.2023.3301775openalex-snapshot

GameDepot: A Visual Analytics System for Mobile Game Performance Testing

inferred← citeshttps://doi.org/10.1109/access.2023.3319438openalex-snapshot

Failure Detection Using Semantic Analysis and Attention-Based Classifier Model for IT Infrastructure Log Data

inferred← citeshttps://doi.org/10.1109/access.2024.3387287openalex-snapshot

Landscape and Taxonomy of Online Parser-Supported Log Anomaly Detection Methods

inferred← citeshttps://doi.org/10.1109/access.2024.3409425openalex-snapshot

Unsupervised Log Sequence Segmentation

inferred← citeshttps://doi.org/10.1109/access.2024.3425369openalex-snapshot

Lightweight Multi-Task Learning Method for System Log Anomaly Detection

inferred← citeshttps://doi.org/10.1109/access.2024.3425472openalex-snapshot

SXAD: Shapely eXplainable AI-Based Anomaly Detection Using Log Data

inferred← citeshttps://doi.org/10.1109/access.2024.3476680openalex-snapshot

FPGAA: A Multi-Feature Provenance Graph for the Accurate Alert System

inferred← citeshttps://doi.org/10.1109/access.2024.3506332openalex-snapshot

Anomaly Detection in Logs Using Deep Learning

inferred← citeshttps://doi.org/10.1109/access.2024.3514097openalex-snapshot

Threat Detection Framework Based on Industrial Internet of Things Logs

inferred← citeshttps://doi.org/10.1109/access.2025.3561669openalex-snapshot

Log Anomaly Detection Method Based on Transformer and Temporal Convolutional Networks

inferred← citeshttps://doi.org/10.1109/access.2025.3586586openalex-snapshot

A Fine-Tuned BERT-Based Model for Individual Log Anomaly Detection in Operational Monitoring at Paranal Observatory

inferred← citeshttps://doi.org/10.1109/access.2025.3587029openalex-snapshot

Convolutional Versus Large Language Models for Software Log Classification in Edge-Deployable Cellular Network Testing

inferred← citeshttps://doi.org/10.1109/access.2025.3594469openalex-snapshot

Anomaly Detection Algorithms for Real-Time Log Data Analysis at Scale

inferred← citeshttps://doi.org/10.1109/access.2025.3645237openalex-snapshot

Automated Logging With Large Language Models: Eliminating Task-Specific Pretraining

inferred← citeshttps://doi.org/10.1109/access.2026.3653996openalex-snapshot

DualBERT: Fusing Symbolic and Temporal Dynamics for High-Precision Log Anomaly Detection

inferred← citeshttps://doi.org/10.1109/access.2026.3665405openalex-snapshot

FuseLog: Fusing Symbolic and Temporal Dynamics for Enhanced Log Anomaly Detection

inferred← citeshttps://doi.org/10.1109/access.2026.3688834openalex-snapshot

LogRAIL: A Retrieval-Augmented LLM Reverification Layer for Log Anomaly Detection

inferred← citeshttps://doi.org/10.1109/acsac63791.2024.00075openalex-snapshot

Madeline: Continuous and Low-cost Monitoring with Graph-free Representations to Combat Cyber Threats

inferred← citeshttps://doi.org/10.1109/aic70896.2026.11717272openalex-snapshot

Predictive Telemetry Intelligence for Self-Healing Cloud Infrastructure in Real-Time Cloud-Native Systems

inferred← citeshttps://doi.org/10.1109/aiei69164.2026.11496714openalex-snapshot

HiPELog: Hierarchical and Parameter-Efficient Transformer for Log Anomaly Detection

inferred← citeshttps://doi.org/10.1109/aiita69518.2026.11567316openalex-snapshot

A Survey of Anomaly Detection and Root Cause Analysis Techniques for Artificial Intelligence for IT Operations (AIOps) in Large-Scale Software Systems

inferred← citeshttps://doi.org/10.1109/apsec53868.2021.00068openalex-snapshot

Literature Review on Log Anomaly Detection Approaches Utilizing Online Parsing Methodology

inferred← citeshttps://doi.org/10.1109/apsec57359.2022.00024openalex-snapshot

DronLomaly: Runtime Detection of Anomalous Drone Behaviors via Log Analysis and Deep Learning

inferred← citeshttps://doi.org/10.1109/apsec60848.2023.00028openalex-snapshot

LogFold: Enhancing Log Anomaly Detection Through Sequence Folding and Reconstruction

inferred← citeshttps://doi.org/10.1109/apsec66846.2025.00054openalex-snapshot

Understanding Industrial Log Analysis: A Multi-Dataset Evaluation of Parsing and Anomaly Detection

inferred← citeshttps://doi.org/10.1109/ase.2019.00042openalex-snapshot

Continuous Incident Triage for Large-Scale Online Service Systems

inferred← citeshttps://doi.org/10.1109/ase51524.2021.9678773openalex-snapshot

Log-based Anomaly Detection Without Log Parsing

inferred← citeshttps://doi.org/10.1109/ase51524.2021.9678815openalex-snapshot

Log Anomaly to Resolution: AI Based Proactive Incident Remediation

inferred← citeshttps://doi.org/10.1109/ase56229.2023.00043openalex-snapshot

LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism

inferred← citeshttps://doi.org/10.1109/ase56229.2023.00133openalex-snapshot

AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection

inferred← citeshttps://doi.org/10.1109/ase56229.2023.00136openalex-snapshot

Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages

inferred← citeshttps://doi.org/10.1109/ase56229.2023.00138openalex-snapshot

Twin Graph-Based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System

showing the first 200 of 725

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.