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Log Anomaly Detection Method Based on Transformer and Temporal Convolutional Networks

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0 Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3561669

Abstract: As record files generated during system operation, logs play a vital role in ensuring system stability. However, the rapid development of distributed technologies has led to the increasing scale and complexity of log data, resulting… read more here.

Keywords: log anomaly; temporal convolutional; method; log ... See more keywords

DRLLog: Deep Reinforcement Learning for Online Log Anomaly Detection

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0 Published in 2025 at "IEEE Transactions on Network and Service Management"

DOI: 10.1109/tnsm.2025.3542595

Abstract: System logs record the system’s status and application behavior, providing support for various system management and diagnostic tasks. However, existing methods for log anomaly detection face several challenges, including limitations in recognizing current types of… read more here.

Keywords: log anomaly; log; drllog; anomaly detection ... See more keywords

SLNALog: A log Anomaly Detection Scheme Based on Swift Layer Normalization Attention Mechanism for Next-Generation Power Communication Networks

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0 Published in 2025 at "IEEE Transactions on Network and Service Management"

DOI: 10.1109/tnsm.2025.3605764

Abstract: Log anomaly detection is a critical first line of defense for securing next-generation power communication networks against malicious attacks. However, in industrial settings, limited computational resources on edge devices result in long inference times for… read more here.

Keywords: detection; log anomaly; next generation; attention ... See more keywords

FLUXLog: a Federated Mixture-of-Experts Framework for Unified Log Anomaly Detection

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0 Published in 2025 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2025.3638693

Abstract: Traditional log anomaly detection systems are centralized, which poses the risk of privacy leakage during data transmission. Previous research mainly focuses on single-domain logs, requiring domain-specific models and retraining, which limits flexibility and scalability. In… read more here.

Keywords: log anomaly; mixture experts; log; anomaly detection ... See more keywords

LogLS: Research on System Log Anomaly Detection Method Based on Dual LSTM

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2 Published in 2022 at "Symmetry"

DOI: 10.3390/sym14030454

Abstract: System logs record the status and important events of the system at different time periods. They are important resources for administrators to understand and manage the system. Detecting anomalies in logs is critical to identifying… read more here.

Keywords: system; log anomaly; anomaly detection; method ... See more keywords