{"title":"Mobil cihaz kullanıcı davranışlarının modellenmesi için yeni bir yaklaşım","authors":"Duygu Sinanc Terzi, Şeref Sağıroğlu","doi":"10.1109/ISDFS.2016.7473539","DOIUrl":null,"url":null,"abstract":"The widespread use of mobile devices and the development of their sensors and applications cause the increase of mobile data for researches and academic studies. These studies are aimed to examine; the effects of technological development to human life, the prediction of mobile phone users' real life behavior, performing advanced mobile experience, detecting unusual behavior, and proposal of new models or innovations. In this paper, the studies to determine the user behavior have been examined and a model has been proposed to identify mobile user habits for a better understanding of individual or community. In addition, the importance of data anonymization or sanitization has been emphasized to prevent breaches of privacy during the implementation of model and data enrichment process. In order to determine the applicability of the model, it is tested in a telecommunication company, and the process is caused to changes the company's infrastructure.","PeriodicalId":136977,"journal":{"name":"2016 4th International Symposium on Digital Forensic and Security (ISDFS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 4th International Symposium on Digital Forensic and Security (ISDFS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDFS.2016.7473539","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mobil cihaz kullanıcı davranışlarının modellenmesi için yeni bir yaklaşım
The widespread use of mobile devices and the development of their sensors and applications cause the increase of mobile data for researches and academic studies. These studies are aimed to examine; the effects of technological development to human life, the prediction of mobile phone users' real life behavior, performing advanced mobile experience, detecting unusual behavior, and proposal of new models or innovations. In this paper, the studies to determine the user behavior have been examined and a model has been proposed to identify mobile user habits for a better understanding of individual or community. In addition, the importance of data anonymization or sanitization has been emphasized to prevent breaches of privacy during the implementation of model and data enrichment process. In order to determine the applicability of the model, it is tested in a telecommunication company, and the process is caused to changes the company's infrastructure.