Anomaly Detection from Web Log Data Using Machine Learning Model-Reference-Cited by-同舟云学术

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Anomaly Detection from Web Log Data Using Machine Learning Model

Published:2023-10-27 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 7th International Conference on Computer Applications in Electrical Engineering-Recent Advances (CERA)
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Author:

Mishra Amit Kumar¹,Bagla Piyush²,Sharma Ravi²,Pandey Neeraj Kumar³,Tripathi Neha³

Affiliation:

1. Graphic Era Hill University,Dept. of Computer Science & Engineering,Dehradun,India

2. National Institute of Technology,Department of Computer Science & Engineering,Jalandhar,India

3. Graphic Era (Deemed to be University),Department of Computer Science & Engineering,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10455095/10455100/10455153.pdf?arnumber=10455153

Reference15 articles.

1. Improving Log-Based Anomaly Detection with Component-Aware Analysis

2. Log Clustering Based Problem Identification for Online Service Systems;Lin

3. Research and Implementation of Data Extraction Method Based on NLP

4. Anomaly Detection of System Logs Based on Natural Language Processing and Deep Learning

5. LPV: A Log Parser Based on Vectorization for Offline and Online Log Parsing

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