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

“…To reduce the consumption of privacy protection mechanisms, Zhao et al An algorithm is designed to reuse the previous noisy response when the same query is repeatedly asked. The algorithm can set the optimal reuse score for the old noise response and add new noise to minimize the accumulated privacy cost 36 .…”

Section: Differential Privacy Researchmentioning

confidence: 99%

Differential privacy protection method for trip‐oriented shared data

Luo

Yang

et al. 2022

Concurrency and Computation

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Summary While location information sharing technology provides convenience for unmanned driving and journey navigation, user journey information sharing has also become a disaster for privacy information leakage. The traditional differential privacy method can only perturb the data entirely and cannot consider the design of data availability. In this paper, the difference privacy algorithm is improved by combining it with the Apriori algorithm, and the relevant perturbation is carried out after mining the associated data of the user's trip. In the face of possible data attacks, the privacy protection of the sensitive information of the user's actual data is ensured while the availability of the data is ensured. By testing 3000 trip data generated by experimental simulation, the results show that the correlation information between the original datasets is destroyed. However good availability is maintained after the Laplace data perturbation of the proposed algorithm for both simultaneous and multi‐person trips.

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“…Blockchain has been used in the context of differential privacy (DP). Because artificial noise is being added to prevent a privacy leak through a data query, the authors in [135] Fig. 13 Blockchain, distributed DL, and medical IoT to support COVID-19 treatment proposed a blockchain to track the total and individual privacy budgets, how much additional noise was added to unique queries, and how much more noise could be allowed before degrading the quality of the dataset and privacy cost.…”

Section: Differential Privacy To Provide Privacy Of Covid-19 Patients' Datamentioning

confidence: 99%

Review of Recent Technologies for Tackling COVID-19

Alharbi

Rahman

2021

SN COMPUT. SCI.

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The current pandemic caused by the COVID-19 virus requires more effort, experience, and science-sharing to overcome the damage caused by the pathogen. The fast and wide human-to-human transmission of the COVID-19 virus demands a significant role of the newest technologies in the form of local and global computing and information sharing, data privacy, and accurate tests. The advancements of deep neural networks, cloud computing solutions, blockchain technology, and beyond 5G (B5G) communication have contributed to the better management of the COVID-19 impacts on society. This paper reviews recent attempts to tackle the COVID-19 situation using these technological advancements.

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

Cited by 20 publications

References 43 publications

Privacy in the Internet of Things: Where do We Stand? A Systematic Literature Review

Privacy in the Internet of Things: Where do We Stand? A Systematic Literature Review

Differential privacy protection method for trip‐oriented shared data

Review of Recent Technologies for Tackling COVID-19

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