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metadata
license: mit
tags:
  - infinite-dataset-hub
  - synthetic

CloudTrailPatterns

tags: data science, cloud services, anomaly detection

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'CloudTrailPatterns' dataset is designed for the purpose of identifying and classifying various patterns of cloud service usage that may indicate anomalies or potential security threats. This dataset is tailored for data science and machine learning applications, particularly in the field of anomaly detection within cloud services. The dataset is formatted in CSV for ease of use with various data processing tools and platforms.

CSV Content Preview:


"Timestamp","SourceIP","DestinationIP","UserAgent","RequestType","ServiceUsed","PayloadSize","Labels"

"2023-04-01T12:00:00Z","192.168.1.100","10.0.0.1","Mozilla/5.0","API Call","EC2 Start Instance","512","Normal"

"2023-04-01T12:05:00Z","192.168.1.101","10.0.0.2","curl/7.64.0","API Call","S3 Bucket Create","1024","Anomaly"

"2023-04-01T12:10:00Z","192.168.1.102","10.0.0.3","python-requests/2.25.1","Data Export","EC2 Stop Instance","2048","Normal"

"2023-04-01T12:15:00Z","192.168.1.103","10.0.0.4","curl/7.64.0","Data Import","S3 Bucket Import","256","Normal"

"2023-04-01T12:20:00Z","192.168.1.104","10.0.0.5","curl/7.64.0","Data Export","S3 Bucket Export","1024","Anomaly"

This dataset features logs captured by a CloudTrail, with each row representing a unique API event. The 'Labels' column indicates whether the event was considered 'Normal' or an 'Anomaly' based on predefined patterns of interest, such as unusual sizes of payloads, frequent creation of S3 buckets, or uncommon usage of certain services.

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'cloudtrail':