AbstractBasing on the study of K-Anonymity algorithm in privacy protection issue, this paper proposed a “Degree Priority” method of visiting Lattice nodes on the generalization tree to improve the performance of K-Anonymity algorithm. This paper also proposed a “Two Times K-anonymity” methods to reduce the information loss in the process of K-Anonymity. Finally, we used experimental results to demonstrate the effectiveness of these methods
K-anonymisation is an approach to protecting privacy contained within a data set. A good k-anonymisa...
Abstract. The technique of k-anonymization allows the releasing of databases that contain personal i...
Data privacy has been an important area of research in recent years. Dataset often consists of sensi...
AbstractBasing on the study of K-Anonymity algorithm in privacy protection issue, this paper propose...
Preserving privacy while publishing data has emerged as key research area in data security and has b...
Abstract—Nowadays, people pay great attention to the privacy protection, therefore the technology of...
The prevalent conditions in data sharing and mining have necessitated the release and ...
Most of the recent efforts addressing the issue of privacy have focused on devising algorithms for t...
Data publising is becoming popular because of its usage and application in many fields. But original...
Preserving privacy while publishing data has emerged as key research area in data security and has b...
Data mining provides tools to convert a large amount of knowledge data which is user relevant. But t...
Abstract—The k-anonymization method is a commonly used privacy-preserving technique. Previous studie...
A range of privacy models as well as anonymization algorithms have been developed. In tabular micro ...
The vast amount of data being collected about individuals has brought new challenges in protecting t...
Many organisations are releasing microdata everyday for business and research purposes. This data do...
K-anonymisation is an approach to protecting privacy contained within a data set. A good k-anonymisa...
Abstract. The technique of k-anonymization allows the releasing of databases that contain personal i...
Data privacy has been an important area of research in recent years. Dataset often consists of sensi...
AbstractBasing on the study of K-Anonymity algorithm in privacy protection issue, this paper propose...
Preserving privacy while publishing data has emerged as key research area in data security and has b...
Abstract—Nowadays, people pay great attention to the privacy protection, therefore the technology of...
The prevalent conditions in data sharing and mining have necessitated the release and ...
Most of the recent efforts addressing the issue of privacy have focused on devising algorithms for t...
Data publising is becoming popular because of its usage and application in many fields. But original...
Preserving privacy while publishing data has emerged as key research area in data security and has b...
Data mining provides tools to convert a large amount of knowledge data which is user relevant. But t...
Abstract—The k-anonymization method is a commonly used privacy-preserving technique. Previous studie...
A range of privacy models as well as anonymization algorithms have been developed. In tabular micro ...
The vast amount of data being collected about individuals has brought new challenges in protecting t...
Many organisations are releasing microdata everyday for business and research purposes. This data do...
K-anonymisation is an approach to protecting privacy contained within a data set. A good k-anonymisa...
Abstract. The technique of k-anonymization allows the releasing of databases that contain personal i...
Data privacy has been an important area of research in recent years. Dataset often consists of sensi...