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Anomaly Detection Dataset(CSE-CIC-IDS2018)
External Dataset
External Data Source
University of New Brunswick
56 (lowest rank is 56)

Category & Restrictions

denial of service, cyber attack, intrusion detection, cyber defense, malicious traffic


This project developed a systematic approach to generate diverse and comprehensive benchmark datasets for intrusion detection resulting in a dataset containing multiple different attack scenarios.

The dataset includes seven different attack scenarios: Brute-force, Heartbleed, Botnet, DoS, DDoS, Web attacks, and infiltration of the network from inside. The attacking infrastructure includes 50 machines and the victim organization has 5 departments and includes 420 machines and 30 servers. The dataset includes the captures network traffic and system logs of each machine, along with 80 features extracted from the captured traffic.

Additional Details

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