Implementation and comparison of machine learning classifiers for information security risk analysis of a human resources department

dc.contributor.author Mete Eminaǧaoǧlu
dc.contributor.author Şaban Eren
dc.contributor.author Eminagaoglu, Mete
dc.contributor.author Eren, Saban
dc.date.accessioned 2025-10-06T17:53:09Z
dc.date.issued 2010
dc.description.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 established from the results obtained in this survey. Third several classifier algorithms are tested where their training and test performances are compared using error rates ROC curves Kappa statistics and F-measures. The results show that some classifier algorithms can be used to estimate specific human based information security risks within acceptable error rates. ©2010 IEEE. © 2011 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1109/CISIM.2010.5643665
dc.identifier.isbn 9781424478170
dc.identifier.scopus 2-s2.0-78651230758
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-78651230758&doi=10.1109%2FCISIM.2010.5643665&partnerID=40&md5=297eb7a0455dbe1fd13aa260a404ff63
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/10274
dc.identifier.uri https://doi.org/10.1109/CISIM.2010.5643665
dc.language.iso English
dc.relation.ispartof 2010 International Conference on Computer Information Systems and Industrial Management Applications CISIM 2010
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Classifier Algorithms, Data Sets, Error Rate, Human Resources, Human-based Information, Information Security, Kappa Statistic, Logistics Company, Machine-learning, Prediction Model, Qualitative Information, Risk Classification, Roc Curves, Test Performance, Algorithms, Classification (of Information), Classifiers, Error Statistics, Industrial Management, Industry, Information Systems, Learning Systems, Mathematical Models, Project Management, Risk Analysis, Risk Assessment, Risk Perception, Surveys, Security Of Data
dc.subject Classifier algorithms, Data sets, Error rate, Human resources, Human-based information, Information security, Kappa statistic, Logistics company, Machine-learning, Prediction model, Qualitative information, Risk classification, ROC curves, Test performance, Algorithms, Classification (of information), Classifiers, Error statistics, Industrial management, Industry, Information systems, Learning systems, Mathematical models, Project management, Risk analysis, Risk assessment, Risk perception, Surveys, Security of data
dc.title Implementation and comparison of machine learning classifiers for information security risk analysis of a human resources department
dc.type Conference Object
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gdc.description.departmenttemp [Eminagaoglu M.] Department of Computer Programming, Yasar University, Izmir, Turkey; [Eren S.] Department of Statistics, Yasar University, Izmir, Turkey
gdc.description.endpage 192
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 187
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gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.virtual.author Eminağaoğlu, Mete
gdc.virtual.author Eren, Şaban
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person.identifier.scopus-author-id Eminaǧaoǧlu- Mete (36348403000), Eren- Şaban (57202412803)
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