Clustering analysis applied to attacks IT in health organizations

Abstract:

In the present work, a clustering analysis of a dataset of cybernetic attacks registered in Health Institutions in the USA is carried out, using 3 methods, which are K-Means clustering, K-Medoids clustering and Hierarchical clustering. The first phase consists of obtaining, processing and cleaning the data set with its respective variables. The second phase is responsible for the initial check of the possible application of clustering techniques to the data set. The third phase consists of the application of the selected clustering techniques and the last phase is in charge of the validation of the results obtained.

Año de publicación:

2020

Keywords:

• Cybernetic attacks
• Health data
• Clustering

Fuente:

scopus