Managing digital identity documents with a proper privacy protection is of pivotal importance to construct trustworthy Internet. As far as the amount of digital identities is expanding at an accelerating rate, content-centric model provides administration capabilities of data transfer. We propose an innovative approach and implementation of privacy-aware Content-Centric Internetworking (CCN)-ba...

The paper presents the results of an exploratory study about the level of privacy abuse and the awareness level of users when communicating and using mobile Internet. The study looks into the relationships and associations between the telecommunications market developmental level, the wealth of a country, users’ skills, the affordability of mobile technologies, the level of user tolerance of st...

In typical mobile sensing architectures, sensing data are collected from users and stored in centralized servers at third parties, making it difficult to effectively protect users’ privacy. A better way to protect privacy is to upload sensing data on personal data stores, which are owned and controlled by the users, enabling them to supervise and limit personal data disclosure and exercise acce...

The collection of personal data in business-to-consumer transactions and respecting the consumers’ privacy preferences are fundamentally competing goals. This paper studies the effects of emerging user-controlled privacy-enhancing technologies on supply-side decision making with respect to technology adoption and pricing strategies. In particular, identity management systems that allow buyers t...

Web search engine has long become the most important portal for ordinary people looking for useful information on the web. User might experience failure when search engine return irrelevance information due to enormous variety of user's context and ambiguity of text. The Existing System failed to resist ambiguity of text. Our Proposed System aim at removing ambiguity of text and provide the rel...

Assistive systems collect large amounts of data in the internet of things and compute behavior and intentions of users in the cloud. Our approach is to push these computations (interpreted as database queries) as close as possible to the local sensors of the internet of things. We aim at replacing privacy-compromising cloud-based computations by fogor edge-based computations or even by processi...

Regional healthcare initiatives seek to improve the quality of healthcare by collecting, analyzing, and disseminating information about chronic diseases such as diabetes. The data required to support such initiatives comes from several organizations such as insurers, physicians, hospitals, pharmacies and labs each of which gather and maintain data for the purpose of healthcare delivery. In this...