Multiobjective Evolutionary Clustering Approach to Security Vulnerability Assesments
Abstract
Network vulnerability assessments collect large amounts of data to be further analyzed by security experts. Data mining and, particularly, unsupervised learning can help experts analyze these data and extract several conclusions. This paper presents a contribution to mine data in this security domain. We have implemented an evolutionary multiobjective approach to cluster data of security assessments. Clusters hold groups of tested devices with...
Paper Details
Title
Multiobjective Evolutionary Clustering Approach to Security Vulnerability Assesments
Published Date
Jan 1, 2009
Journal
Pages
597 - 604
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