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- W4206059949 abstract "The paper investigates query-anonymity in Internet of things (IoT) formed by a sensor cloud, where the sensor nodes provide services of sensing and are subject to user queries of sensing data. Due to the heterogeneity and multi-carrier natures of the sensor cloud, user privacy could be impaired when the queries have to go through nodes of a third party. Thus, the paper firstly introduces a novel query k-anonymity scheme that countermeasures such a privacy threat. Based on the proposed k-anonymity scheme, the trade-offs between the achieved query-anonymity and various performance measures including, communication-cost, return-on-investment metric, path-length, and location anonymity metrics, are analyzed. By adopting a hybrid approach that takes into account the average and worst-case analysis, our evaluation results show that most of the obtained bounds on various performance anonymity trade-offs can be expressed precisely in terms of the offered level-of-anonymity k and network diameter d." @default.
- W4206059949 created "2022-01-26" @default.
- W4206059949 date "2021-01-01" @default.
- W4206059949 modified "2023-10-15" @default.
- W4206059949 title "k-Anonymous Query Scheme on the Internet of Things: a Zero Trust Architecture" @default.
- W4206059949 doi "https://doi.org/10.33969/j-nana.2021.010302" @default.
- W4206059949 hasPublicationYear "2021" @default.
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