An Elliptic Curve-based Protocol for Privacy Preserving Frequency Computation in 2-Part Fully Distributed Setting

Privacy-preserving frequency computation is critical to privacy-preserving data mining in 2-Part Fully Distributed Setting (such as association rule analysis, clustering, and classification analysis) and has been investigated in many researches. However, these solutions are based on the Elgamal Cryp...

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Vydané v:	2020 12th International Conference on Knowledge and Systems Engineering (KSE) s. 91 - 96
Hlavní autori:	Van Vu, Thi, Luong, The Dung, Hoang, Van Quan
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 12.11.2020
Predmet:	2-part fully distributed setting Elliptic curve cryptosystem Privacy preserving frequency computation Privacy-preserving data mining Secure multi-party computation
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