Applying artificial intelligence for anomaly based network intrusion detection system, phase 2

The aim of the program is to apply open source Artificial Intelligence (AI) for the development of a Network Intrusion Detection System (IDS).

Also visualization of IDS detection and AI analysis is studied for achieving better Situational Awareness (SA) supporting the decision making in a complex cyber domain.

As a result, a pilot application applying AI for anomaly based Intrusion Detection System is generated and tested.

Duration

2/2019 – 12/2019

Funding program

MATINE – The Scientific Advisory Board for Defence

Consortium

JAMK University of Applied Sciences, Institute of Information Technology

Slide

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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