کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4951195 | 1441194 | 2017 | 30 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Secure and flexible cloud-assisted association rule mining over horizontally partitioned databases
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
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چکیده انگلیسی
With recent trends in big data and cloud computing, data mining has also attracted considerable interest due to its potential to deal with distributed data in the cloud. However, existing data mining technologies may not be directly deployed as we need to avoid accidental privacy disclosure when data from different sources are mined. In this paper, we propose a secure and flexible cloud-assisted association rule mining over horizontally partitioned databases. Using the proposed scheme, data owners can provide their data and mine the association rules in the cloud flexibly, while being assured of minimal risks of privacy leakage. We then show that our proposed scheme achieves privacy-preserving mining of association rules, and provides resilience against collusion attacks. A comparative summary demonstrates that the proposed scheme is more efficient, in terms of computational costs, relative to several existing homomorphic-encryption-based schemes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computer and System Sciences - Volume 89, November 2017, Pages 51-63
Journal: Journal of Computer and System Sciences - Volume 89, November 2017, Pages 51-63
نویسندگان
Cheng Huang, Rongxing Lu, Kim-Kwang Raymond Choo,