کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4944697 | 1438003 | 2017 | 19 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A reusable and single-interactive model for secure approximate k-nearest neighbor query in cloud
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A reusable and single-interactive model for secure approximate k-nearest neighbor query in cloud A reusable and single-interactive model for secure approximate k-nearest neighbor query in cloud](/preview/png/4944697.png)
چکیده انگلیسی
In this work, we present a novel model to remove the above limitations. Specifically, a reusable and single-interactive SANN paradigm is proposed in Euclidean high-dimensional space. Firstly, we present a secure variation of B+-tree (i.e., Bc-tree) to quickly locate high-dimensional candidates in cloud by leveraging on comparable encryption. Based on that, an arbitrary query requestor acquires approximate k-nearest neighbors by linearly scanning over candidates. Meanwhile, two refinements, multi-index strategy and boosting refinement strategy, are proposed to further improve the accuracy of search result and overcome the high-dependency of bandwidth, respectively. In the end, through extensive evaluations on four data sets, the proposed mechanisms are demonstrated to be superior in the tradeoff between accuracy and security.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 387, May 2017, Pages 146-164
Journal: Information Sciences - Volume 387, May 2017, Pages 146-164
نویسندگان
Yanguo Peng, Jiangtao Cui, Hui Li, Jianfeng Ma,