Abstract An online world exists in which businesses have become burdened with managerial and legal duties regarding the seeking of informed consent protection privacy personal data, while growing public cynicism data collection threatens healthy development marketing e-commerce. This research seeks to address such by assisting organisations devise ethical management processes that consider an i...

Latent Dirichlet Allocation (LDA) is a popular topic modeling technique for hidden semantic discovery of text data and serves as fundamental tool analysis in various applications. However, the LDA model well training process may expose information data, thus bringing significant privacy concerns. To address issue LDA, we systematically investigate protection main-stream algorithm based on Colla...

With their increasing popularity in cryptosystems, biometrics have attracted more and more attention from the information security community. However, how to handle the relevant privacy concerns remains to be troublesome. In this paper, we propose a novel security model to formalize the privacy concerns in biometric-based remote authentication schemes. Our security model covers a number of prac...

Distributed trust management supports the provision of the required levels in a flexible and scalable manner by locally discriminating between the entities with which a principal should interact. However, there is a tension between the preservation of privacy and the controlled release of information when an entity submits credentials for establishing and verifying trust metric where it may dis...