I gang

Knowledge Engineering and Cybersecurity

1. Knowledge mining: explore the dataset and build a simple knowledge-base to represent the

domain knowledge of the security incident analysis, by

a. For each attribute identify the attribute-domain using only the available information in the

dataset.

. Identify the top 5 essential attributes in your opinion and create a taxonomy to represent the

attribute-domain in a hierarchical structure.

c. Identify at least 10 explicit binary relations that could exist between two alert incidents.

d. Identify at least 6 N-ary relations that could exist between two or more alert incidents

2. Graph mining:

a. Construct a graph to represent the set of all incidents or k subsets of incidents the dataset.

Your graph must be a property graph

b. Apply shared attribute analysis to detect similar sub-graph structures.

c. Apply communities detection algorithm over the confirmed incidents and non-confirmed

incidents and comments on the structures of the different communities.

Evner: Kunstig intelligens, Machine Learning (ML), Python, Computer Sikkerhed, Security Systems

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( 2 bedømmelser ) Brampton, Canada

Projekt ID: #20464628

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artkulak

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Elsa22

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