Comparison of accuracy.

Comparison of accuracy.

<div><p>Virtual machine logs are generated in large quantities. Virtual machine logs may contain some abnormal logs that indicate security risks or system failures of the virtual machine platform. Therefore, using unsupervised anomaly detection methods to identify abnormal logs is a mean...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Hao Zhang (15339) (author)
مؤلفون آخرون: Yun Zhou (308977) (author), Huahu Xu (20521389) (author), Jiangang Shi (402247) (author), Xinhua Lin (538781) (author), Yiqin Gao (5236673) (author)
منشور في: 2025
الموضوعات:
Science Policy
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
virtual machine platform
support vector machine
strong sequential patterns
method called ladsvm
indicate security risks
feature extraction algorithm
experimental results demonstrate
dimensional latent space
virtual machine logs
log parsing algorithm
performance may vary
ladsvm approach excels
extract key features
combines long short
identify abnormal logs
disordered log data
long short
extract features
parsing logs
abnormal logs
log information
dimensional input
traditional methods
term memory
system failures
svm ).
specific characteristics
real world
prior knowledge
paper proposes
often challenging
meaningful task
large quantities
increase robustness
detecting anomalies
anomaly detection
anomaly alerts
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