Open Access. Powered by Scholars. Published by Universities.®
- File Type
Articles 1 - 6 of 6
Full-Text Articles in Education
Achieving P-Sensitive K-Anonymity Via Anatomy, Xiaoxun Sun, H Wang, J Li, D Ross
Achieving P-Sensitive K-Anonymity Via Anatomy, Xiaoxun Sun, H Wang, J Li, D Ross
Xiaoxun Sun
No abstract provided.
Injecting Purpose And Trust Into Data Anonymisation, Xiaoxun Sun, H Wang, J Li
Injecting Purpose And Trust Into Data Anonymisation, Xiaoxun Sun, H Wang, J Li
Xiaoxun Sun
No abstract provided.
Finding Nucleolus Of Flow Games., X Deng, Q Fang, Xiaoxun Sun
Finding Nucleolus Of Flow Games., X Deng, Q Fang, Xiaoxun Sun
Xiaoxun Sun
No abstract provided.
Microdata Protection Through Approximate Microaggregation, Xiaoxun Sun, H Wang, J Li
Microdata Protection Through Approximate Microaggregation, Xiaoxun Sun, H Wang, J Li
Xiaoxun Sun
Microdata protection is a hot topic in the field of Statistical Disclosure Control, which has gained special interest after the disclosure of 658000 queries by the America Online (AOL) search engine in August 2006. Many algorithms, methods and properties have been proposed to deal with microdata disclosure. One of the emerging concepts in microdata protection is k- anonymity, introduced by Samarati and Sweeney. k- anonymity provides a simple and efficient approach to protect private individual information and is gaining increasing popularity. k-anonymity requires that every record in the microdata table released be indistinguishably related to no fewer than k respondents. …
Extended K-Anonymity Models Against Attribute Disclosure, Xiaoxun Sun, H Wang, L Sun
Extended K-Anonymity Models Against Attribute Disclosure, Xiaoxun Sun, H Wang, L Sun
Xiaoxun Sun
No abstract provided.
Optimal Privacy-Aware Path In Hippocratic Databases, M Li, Xiaoxun Sun, H Wang, Y Zhang
Optimal Privacy-Aware Path In Hippocratic Databases, M Li, Xiaoxun Sun, H Wang, Y Zhang
Xiaoxun Sun
No abstract provided.