Privacy-preserving Data-as-a-service Mashups
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Privacy-Preserving Data-as-a-Service Mashups
منابع مشابه
Towards Privacy-preserving Data-as-a-Service Mashups
Data-as-a-Service (DaaS) is a paradigm that provides data on demand to consumers across different cloud platforms over the Internet. Yet, a single DaaS provider may not be able to fulfill a data request. Consequently, the concept of DaaS mashup was introduced to enable DaaS providers to dynamically integrate their data on demand depending on consumers’ requests. Utilizing DaaS mashup, however, ...
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The Web 2.0 technologies allow dynamic content creation using syndications or mashups, extracted from diverse data sources, including government enterprise data. As a primary source of citizen data, the US government has the obligation not only to make public data available for citizen access as stated in the Freedom of Information Act, but also to protect the privacy of individual citizen’s re...
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Recent development of Google Map, Yahoo! Map and MapQuest APIs have pushed map mashups almost to the top among other types of mashups such as news mashups, search and shopping mashups, and video and photo mashups. However, map mashups should not reply on these open data sources and services only. Developing a mashup in general faces a number of challenges. These include: 1) the difficulties in ...
متن کاملA centralized privacy-preserving framework for online social networks
There are some critical privacy concerns in the current online social networks (OSNs). Users' information is disclosed to different entities that they were not supposed to access. Furthermore, the notion of friendship is inadequate in OSNs since the degree of social relationships between users dynamically changes over the time. Additionally, users may define similar privacy settings for their f...
متن کاملPrivacy-Preserving Data Publishing in Linked Data Mashup Architectures
The mashup of microdata sources to form a data hub must fulfill a set of privacy preservation anonymity requirements that hinder data analysts to figure out sensitive information of the source datasets. This is relevant in a number of fields that include smart cities, electronic healthcare records and others. Linked data publishing architectures are not designed to adapt well to the requirement...
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تاریخ انتشار 2013