Implementation and comparison of machine learning classifiers for information security risk analysis of a human resources department
Abstract
The aim of this study is threefold. First, a qualitative information security risk survey is implemented in human resources department of a logistics company. Second, a machine learning risk classification and prediction model with proper data set is esta
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-78651230758&doi=10.1109%2fCISIM.2010.5643665&partnerID=40&md5=69a8ce244192b1e987a286f11abeb9a1https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10663
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