Efficient Boolean Keywords Search over Encrypted Cloud Data in Public Key Setting

المؤلفون المشاركون

Li, Yin
Zhang, Yu
He, Wei

المصدر

Mobile Information Systems

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-15، 15ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-08-26

دولة النشر

مصر

عدد الصفحات

15

التخصصات الرئيسية

هندسة الاتصالات

الملخص EN

Searchable public key encryption- (SPE-) supporting keyword search plays an important role in cloud computing for data confidentiality.

The current SPE scheme mainly supports conjunctive or disjunctive keywords search which belongs to very basic query operations.

In this paper, we propose an efficient and secure SPE scheme that supports Boolean keywords search, which is more advanced than the conjunctive and disjunctive keywords search.

We first develop a keyword conversion method, which can change the index and Boolean keywords query into a group of vectors.

Then, through applying a technique so-called dual pairing vector space to encrypt the obtained vectors, we propose a concrete scheme proven to be secure under chosen keyword attack.

Finally, we put forward a detailed theoretical and experimental analysis to demonstrate the efficiency of our scheme.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zhang, Yu& He, Wei& Li, Yin. 2020. Efficient Boolean Keywords Search over Encrypted Cloud Data in Public Key Setting. Mobile Information Systems،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1192342

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zhang, Yu…[et al.]. Efficient Boolean Keywords Search over Encrypted Cloud Data in Public Key Setting. Mobile Information Systems No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1192342

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zhang, Yu& He, Wei& Li, Yin. Efficient Boolean Keywords Search over Encrypted Cloud Data in Public Key Setting. Mobile Information Systems. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1192342

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1192342