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To preserve users' privacy, PPMs often apply one or a combination of data sanitizing operations, such as generalization, suppression, perturbation, anatomization, permutation and/or slicing [5], [13]. The sanitization goal is to protect sensitive information by removing or modifying attributes of data.
This work presents a privacy-preserving mechanism, which guarantees the privacy of the data owner and the person who accesses the data. A cloud monitoring ...
This work presents a privacy-preserving mechanism, which guarantees the privacy of the data owner and the person who accesses the data. A cloud monitoring ...
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This work presents a privacy-preserving mechanism, which guarantees the privacy of the data owner and the person who accesses the data. A cloud monitoring ...
This work presents a privacy-preserving mechanism, which guarantees the privacy of the data owner and the person who accesses the data. A cloud monitoring ...
Oct 22, 2024 · A common approach is to screen content in storage and transmission for exposed sensitive information. Such an approach usually requires the ...
Aug 21, 2024 · This paper proposes a blockchain-based methodology for preserving data provider's private and sensitive data.
Jul 30, 2024 · In this paper, we aim to minimize privacy leakages that may lead to user identification on mobile devices through user tracking and distinguishability.
Mar 1, 2023 · PPDSA technologies, coupled with strong governance, can play a critical role in protecting democratic values and mitigating privacy risks and ...
In this study, we comprehensively survey the state-of-the-art mechanisms for protecting the location privacy of workers in MCS.