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A Generalization of Agrawal et al.'s Protocol for N-Party Private Set Intersection over Dynamic Datasets

並列摘要


This work considers an n-party private set intersection (nPSI) problem and presents a corresponding practical protocol that is secure in the semi-honest model. Although the nPSI problem has already some solutions, they become inefficient in the real-life applications, especially when they run over multiple dynamic datasets whose elements are frequently updated. This motivates our work to circumvent this problem and obtain a practically meaningful result. To this end, we extend Agrawal et al.'s 2-party protocol to an nPSI protocol without compromising its practical efficiency. We provide the complexity to show that our construction efficiently runs over dynamic datasets.

被引用紀錄


羅旭峰(2014)。石墨烯與碳系材料應用於鈉離子電池負極之性質研究〔碩士論文,國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-0412201512021069

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