A Blockchain-Based Approach for Saving and Tracking Differential-Privacy Cost

An increasing amount of users' sensitive information is now being collected for analytics purposes. Differential privacy has been widely studied in the literature to protect information. The parameter bounds about data set leaked by noisy output. Oftentimes, a needs be used answering multiple queries, so level protection may degrade as more queries are answered. Thus, it crucial keep track budget spending, which should not exceed given limit budget. Moreover, if query answered before and asked again on same set, we reuse previous response current save cost. In view above, design an algorithm responses repeatedly. particular, considering that different requests have requirements, our can optimal fraction old add new noise minimize accumulated Furthermore, implement blockchain-based system tracking saving differential-privacy As result, owner will full knowledge how confident no cost incurred once specified exhausted.