حفظ حریم خصوصی در ابر
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حفظ حریم خصوصی در ابر

عنوان فارسی مقاله: دستیابی به جستار مناسب رابط چند کلمه ای حفظ حریم خصوصی در ابر
عنوان انگلیسی مقاله: Achieving Efficient and Privacy-Preserving Multi-Keyword Conjunctive Query Over Cloud
مجله/کنفرانس: دسترسی – IEEE Access
رشته های تحصیلی مرتبط: مهندسی کامپیوتر
گرایش های تحصیلی مرتبط: رایانش ابری
کلمات کلیدی فارسی: رایانش ابری، جستار رابط، رمزگذاری همگن، جستار چند کلمه ای
کلمات کلیدی انگلیسی: Cloud computing, conjunctive query, homomorphic encryption, multi-keyword query
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus – Master Journals List – JCR
شناسه دیجیتال (DOI): https://doi.org/10.1109/ACCESS.2019.2954043
دانشگاه: Information Security and National Computing Grid Laboratory, Southwest Jiaotong University, Chengdu 611756, China
ناشر: آی تریپل ای - IEEE
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
ایمپکت فاکتور: 4.641 در سال 2018
شاخص H_index: 56 در سال 2019
شاخص SJR: 0.609 در سال 2018
شناسه ISSN: 2169-3536
شاخص Quartile (چارک): Q2 در سال 2018
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 11
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E14024
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست انگلیسی مطالب

Abstract


I. Introduction


II. Models and Design Goals


III. Preliminary


IV. The Proposed Scheme


V. Security Analysis


Authors


Figures


References

نمونه متن انگلیسی مقاله

Abstract


With the explosive growth of data, it has become increasingly popular to deploy the powerful cloud to manage data. Meanwhile, as the cloud is not always fully trusted, personal and sensitive data have to be encrypted before being outsourced to the cloud. Naturally, this brings a serious challenge for the cloud to provide secure and efficient query services over huge volumes of data. Although existing works have proposed some solutions to solve the above challenge, most of them just focus on the single keyword query and cannot directly support multi-keyword query. Even though some works have discussed solutions for the multi-keyword query, they cannot well balance the efficiency and privacy. Therefore, in this paper, we propose a novel multi-keyword conjunctive query scheme over cloud, which can achieve high query efficiency with small privacy leakage. In specific, we first design a tree-based index to support the multikeyword conjunctive query and employ Boneh-Goh-Nissim (BGN) homomorphic encryption technique to protect its privacy. Then, based on the tree-based index, we propose a wildcard search algorithm to improve its query efficiency. Finally, the detailed security analysis shows that the proposed scheme is really privacypreserving, and extensive simulation results also demonstrate its efficient.


Introduction


With the rapid development of the internet, volumes of data are exploding by the day. According to IBM Marketing Cloud study [1], more than 90% of data on the internet has been created since 2016, which leads more and more individuals and companies to store local files in the cloud to reduce the increasing storage overhead. However, the cloud servers may not be fully trusted in practice today, because administrators or even hackers are likely to get full access to the servers and consequently to the files. Thus, the files with some sensitive information (e.g., electronic health records) have to be encrypted before outsourcing them to the cloud. Although data encryption technique preserves data privacy, it also hides some critical information such that the cloud cannot support some user’s operations over the encrypted data, e.g., as multi-keyword conjunctive query, which returns a set of files containing multiple queried keywords. Consequently, it is challenging to perform multi-keyword conjunctive query over encrypted data. One straightforward solution is that the user downloads all encrypted files and performs search after files are decrypted. However, this solution is impractical because of its significant computational cost and communication overhead. In order to solve the above problem, searchable encryption (SE) was introduced, which allows the cloud server to search encrypted files without leaking information in the plaintext files.

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