Applying AI for anomaly based network intrusion detection system, phase 1

The aim of the program is to compare, investigate and apply open source AI framework for the development of a Network Intrusion Detection System. As a result, a pilot application applying AI for anomaly based Intrusion Detection System is generated and tested.

Duration

1.1.2018-31.11.2018

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Adding resilience to digital business

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JYVSECTEC – Jyväskylä Security Technology is an independent research, development, and training center in Finland. We operate as part of Jamk University of Applied Science's Institute of Information Technology.

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