FSC-based data fusion sensitivity assessment scheme

Caiwen Wang; Rui Liu; Ke An

doi:10.1117/12.2667494

28 March 2023 FSC-based data fusion sensitivity assessment scheme

Caiwen Wang, Rui Liu, Ke An

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125661J (2023) https://doi.org/10.1117/12.2667494
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

In recent years, with the large amount of data generated, data fusion and sharing have become more and more important. However, the expansion of the scope of data fusion and sharing has led to the increasing problem of data leakage risk. In this paper, we improve the FSC fusion algorithm to evaluate the sensitivity change during data fusion from three aspects: data set, data items and data values, so that the fused data sensitivity is more accurate, and later the fused data is anonymized for sharing. The algorithm reduces information loss and provides better privacy protection.

Citation Download Citation

Caiwen Wang, Rui Liu, and Ke An "FSC-based data fusion sensitivity assessment scheme", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125661J (28 March 2023); https://doi.org/10.1117/12.2667494

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