مشاهده‌ مشخصات مقاله

K-Anonymity Privacy Protection Using Ontology

Authors	Maedeh Ashouri Talouki Mohammad-ali NematBakhsh Ahmad Baraani
Conference	چهاردهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
Abstract	Blinded data mining is a branch of data mining technique which is focused on protecting user privacy. To mine sensitive data such as medical information, it is desirable to protect privacy and there is not worry about revealing personalized data. In this paper a new approach for blinded data mining is suggested. It is based on ontology and k-anonymity generalization method. Our method generalizes a private table by considering table fields ontology, so that each tuple will become k-anonymous and less specific to not reveal sensitive information. This method is implemented using protégé and java for evaluation.
قیمت	برای اعضای سایت : 100,000 Rial برای دانشجویان عضو انجمن : 20,000 Rial برای اعضای عادی انجمن : 40,000 Rial

خرید مقاله

Conferences and Events