Differential Privacy Essay

2196 Words9 Pages

Abstract- Differential privacy is a process of protecting the sensitive data from disclosure and holds strongest privacy. Differential privacy requires that computations that need to be insensitive to changes in any particular individual are record, thereby restricting data leaks through the results. The problem arises as where the details of an individual are shared by multiple parties. The existing method uses two party protocol and algorithm to release the private data in a secure way and it is applicable only for the two parties. So to overcome this problem a stochastic descent granite algorithm is framed for multi-parties to publish an anonymized view of the integrated data. A data recipient including the data providers will not be able …show more content…

Its aims to provide means to maximize the accuracy of queries from statistical databases while minimizing the chances of identifying its records. Differential privacy guarantees practical resolution to this dispute. Differential privacy is preserved the charity of any one individual to the answer of any question must be insignificant, in a precise mathematical sense. Differential Privacy is a relatively new privacy ensuring mechanism, but as the number and volume of databases with private data keep on to grow, this will continue to be a powerful and important …show more content…

Differential privacy is a rigorous privacy model that makes no assumption about an adversary’s background knowledge. A differentially private mechanism ensures that the probability of any output (released data) is equally likely from all nearly identical input data sets and thus guarantees that all outputs are insensitive to any individual’s data. In other words, an individual’s privacy is not at risk because of the participation in the data set. In particular, it presents an algorithm for differentially private data release for vertically partitioned data between two parties in the semi-honest adversary model. To achieve this, first present a two-party protocol for the exponential mechanism. It achieves the two-party algorithm that releases differentially private data in a secure way according to the definition of secure multiparty computation. This protocol can be used as a sub-protocol by any other algorithm that requires the exponential mechanism in a distributed setting. It solves the distributed and non-interactive scenario.
A. Dataset upload and viewing process
Most commonly a data set corresponds to the contents of a single database table, or a single statistical data matrix, where every column of the table represents a particular variable, and each row corresponds to a given member of the data set in question. The data set lists

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