The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
General (α, k)‐anonymity model is a widely used method in privacy‐preserving data publishing, but it cannot provide personalized anonymity. At present, two main schemes for personalized anonymity are the individual‐oriented anonymity and the sensitive value‐oriented anonymity. Unfortunately, the existing personalized anonymity models, designed for any of the aforementioned schemes for privacy‐preserving...
On the schemes of personalized privacy preservation, the sensitive attribute value-oriented anonymous method can not satisfy the different privacy preservation requirements for each individual. Therefore we present a personalized extended (a,k)-anonymity model based on clustering techniques. The model can not only avoid privacy disclosure caused by the occurrence imbalance of sensitive attribute values...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.