Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
—This paper considers a cloud computing setting in which similarity querying of metric data is outsourced to a service provider. The data is to be revealed only to trusted users,...
Man Lung Yiu, Ira Assent, Christian S. Jensen, Pan...
— Distributed data mining has recently caught a lot of attention as there are many cases where pooling distributed data for mining is probibited, due to either huge data volume o...
Chak-Man Lam, Xiaofeng Zhang, William Kwok-Wai Che...
Compelled to improve information security by the introduction of personal data protection legislation, organizations worldwide are adopting standardized security management guidel...
Private Information Retrieval (PIR) protocols allow users to learn data items stored at a server which is not fully trusted, without disclosing to the server the particular data e...
Ning Shang, Gabriel Ghinita, Yongbin Zhou, Elisa B...