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input {
  file {
    path => "/var/log/*.log"
  }
}

output {
  elasticsearch {
    hosts => ["localhost:9200"]
    index => "logstash-%{+YYYY.MM.dd}"
  }
}

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ÒÔÏÂÊÇÒ»¸öʹÓÃPython±àдµÄ¼òÆÓµÄÍþв¼ì²âʾÀý´úÂ룺

import pandas as pd
from sklearn.ensemble import IsolationForest

# ¼ÓÔØÈÕÖ¾Êý¾Ý
data = pd.read_csv("logs.csv")

# ÌáÈ¡ÌØÕ÷
features = data.drop(["label", "timestamp"], axis=1)

# ʹÓÃÁæØêÉ­ÁÖËã·¨¾ÙÐÐÍþв¼ì²â
model = IsolationForest(contamination=0.1)
model.fit(features)

# Õ¹ÍûÒì³£Ñù±¾
predictions = model.predict(features)

# Êä³öÒì³£Ñù±¾
outliers = data[predictions == -1]
print(outliers)

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Elastic. Logstash – Collect, Parse, and Enrich Data. https://www.elastic.co/logstash.

Elastic. Elasticsearch – Fast, Distributed, and Highly Available Search Engine. https://www.elastic.co/elasticsearch.

Elastic. Kibana – Explore & Visualize Your Data. https://www.elastic.co/kibana.

Scikit-learn. Isolation Forest. https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html.

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