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No significant research has been conducted so far on Intrusion detection dueto data availability since, network traffic within companies is privateinformation and no available logs can be found on the Internet for independentresearch. This paper aims to answer the question whether open-sourced data,that is usually simulated network traffic can assist in developing a robustmodel that will effectively recognize and deter possible denial of service orinfiltration attacks.

Intrusion Detection with Machine Learning Using Open-Sourced Datasets