Completed

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

JYVSECTEC - JYVÄSKYLÄ SECURITY TECHNOLOGY
CYBER SECURITY RESEARCH, DEVELOPMENT, AND TRAINING CENTER

Services

FINCSC - Finnish Cyber Security Certificate

Company

Social

Location

JAMK University of Applied Sciences, Institute of Information Technology

Piippukatu 2,

40100 Jyväskylä, Finland

jyvsectec@jamk.fi

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