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Summary

DS-0917
Intrusion Detection Evaluation Dataset (CICIDS2017)
External Dataset
External Data Source
University of New Brunswick
07/03/2017
07/07/2017
53 (lowest rank is 53)

Category & Restrictions

Other
intrusion detection, cyber attack, traffic flow data
Unrestricted
Unknown

Description


The CICIDS2017 dataset consists of labeled network flows, including full packet payloads in pcap format, the corresponding profiles and the labeled flows (GeneratedLabelledFlows.zip) and CSV files for machine and deep learning purpose (MachineLearningCSV.zip)

CICIDS2017 dataset contains benign and the most up-to-date common attacks, which resembles the true real-world data (PCAPs). It also includes the results of the network traffic analysis using CICFlowMeter with labeled flows based on the time stamp, source and destination IPs, source and destination ports, protocols and attack (CSV files). ; cic@unb.ca

Additional Details

N/A
false
Unknown
artificial neural network, cybercrime, network analyzers, inferlink corporation, internet security, cyberwarfare, packets, external data source, deep learning, intrusion detection system, microcontroller, pcap, cyberattack, network flow, cryptanalysis, basic stamp, telecom, traffic analysis, intrusion detection evaluation dataset (cicids2017), network packet, 917