[PDF] Parallelizing K-Anonymity Algorithm for Privacy
IEEE’s Response to the COVID-19 Pandemic IEEE publications continue to accept submissions and publish impactful cutting-edge research. Our online publications remain available to researchers and students around the world. Jun 20, 2013 · In this paper, we consider the collaborative data publishing problem for anonymizing horizontally partitioned data at multiple data providers. We consider a new type of “insider attack” by colluding data providers who may use their own data records (a subset of the overall data) to infer the data records contributed by other data providers. In collaborative data publishing (CDP), an m -adversary attack refers to a scenario where up to m malicious data providers collude to infer data records contributed by other providers.
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As science becomes more collaborative, data-intensive, and computational, academic researchers are faced with a range of data management needs. Combine these needs with funding directives that require data management planning, and there is both a need and an imperative for research data services in colleges and universities. Academic libraries may Publications The new journal ACM/IMS Transactions on Data Science (TDS) includes cross-disciplinary innovative research ideas, algorithms, systems, theory and applications for data-intensive computing. We invite papers that address challenges from acquisition to data cleaning, transformation, representation, integration, indexing, modeling, analysis, visualization, and interpretation. Research | Data Science at McGill - McGill University
M privacy for collaborative data publishing The collaborative data publishing problem for anonymizing horizontally partitioned data at multiple data providers …
M privacy for collaborative data publishing by IJISER - Issuu Title: M privacy for collaborative data publishing, Author: IJISER, Name: M privacy for collaborative data publishing, Length: 7 pages, Page: 1, Published: 2017-07-29 Issuu company logo Issuu IEEE PAPERS , IEEE PROJECTS FREE DOWNLOAD ENGINEERING ieee paper , engineering research free download 2020 ieee papers new paper request ieee paper 2019 big data 2019 cloud computing 2019 iot internet of things 2019 cyber security 2019 android system 2019 computer algorithm 2019 ai artificial intelligence 2019 robotics 2019 e commerce 2019 distributed system 2019 image processing 2019 deep