ARA : Aggregated RAPPOR and Analysis for Centralized Differential Privacy

Paul, Sudipta, Mishra, Subhankar

arXiv.org Machine Learning 

Privacy is a term used to describe an individual's anonymity and how safe they feel in a location preferably in Internet, which is one of the most sensitive and concerned'concept' at present. In the current situation crowd sourcing is the most popular source of collecting data directly from people for many research topics. Generally it is being done through several online site or portal in Internet. But there are some basic issues regarding the whole survey process, like (a) the system of survey should be convincing enough to gain the participants trust,(b) the processes after the survey should be effective enough to ensure the'truthfulness' of the participants to the researchers, (c) The processes of research should be robust enough to guarantee the leak proof of the research architecture model, (d) The system of survey should still produce a'good result' in terms of gaining an insight of the problem in spite of the'noise' in the data. Therefore it promises a large research field in case of statistical databases where a leak of small amount of data may lead to a personal identification which might be a concern for that person in his or her personal life .

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found