Verifiable privacy-preserving association rule mining using distributed decryption mechanism on the cloud

As one of the important ways in data mining, the association rule mining is to analyze the correlation of transactions based on massive data and mine the hidden valuable information. However, excessive data collection and analysis might lead to the privacy leakage of user data and the damage of data...

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Vydané v:	Expert systems with applications Ročník 201; s. 117086
Hlavní autori:	Chen, Yange, Zhao, Qingqing, Duan, Pu, Zhang, Benyu, Hong, Zhiyong, Wang, Baocang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Ltd 01.09.2022 Elsevier BV
Predmet:	Active attack Association rule mining Cloud computing Data collection Data integrity Data mining Digital signatures Integrity Performance evaluation Permutations Poisoning attack Privacy Privacy-preserving Random numbers Reliability analysis Verifiable Verifiable Poisoning attack Privacy-preserving Association rule mining Active attack
ISSN:	0957-4174, 1873-6793
On-line prístup:	Získať plný text
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