Time-Aware Log Anomaly Detection Based on Growing Self-organizing Map
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F23%3A00370065" target="_blank" >RIV/68407700:21240/23:00370065 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-48421-6_12" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-48421-6_12</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-48421-6_12" target="_blank" >10.1007/978-3-031-48421-6_12</a>
Alternative languages
Result language
angličtina
Original language name
Time-Aware Log Anomaly Detection Based on Growing Self-organizing Map
Original language description
A software system generates extensive log data, reflecting its workload and potential failures during operation. Log anomaly detection algorithms use this data to identify deviations in system behavior, especially when errors occur. Workload patterns can vary with time, depending on factors like the time of day or day of the week, affecting log entry volumes. Thus, it’s essential for log anomaly detection to consider temporal information that captures workload variations. This paper introduces a novel log anomaly detection method that incorporates such time information and demonstrates how smaller models enhance anomaly detection precision. We evaluate this method on a high-throughput production workload of a software system, showcasing its superior performance over conventional log anomaly detection methods.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Service-Oriented Computing
ISBN
978-3-031-48420-9
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
9
Pages from-to
169-177
Publisher name
Springer, Cham
Place of publication
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Event location
Rome
Event date
Nov 28, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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