Forward privacy multikeyword ranked search over encrypted database
International Journal of Intelligent Systems
; 2022.
Article
in English
| Scopus | ID: covidwho-1787667
ABSTRACT
Dynamic searchable encryption (SE) aims at achieving varied search function over encrypted database in dynamic setting, which is a trade-off in efficiency, security, and functionality. Recent work proposes a file-injection attack which can successfully attack by utilizing some information leaked in the update process. To mitigate this attack, some SE schemes with forward privacy are proposed. However, these schemes are designed to achieve single keyword or conjunctive keyword search, which cannot support multikeyword search. Moreover, these schemes do not consider the function of results ranking. In this paper, we propose a forward privacy multikeyword ranked search scheme over encrypted database. We design a forward privacy multikeyword search scheme based on the classic MRSE scheme. Our scheme makes the cloud cannot obtain the actual match results of the past query with the newly updated files by adding the well-chosen dummy elements to the original index and query vectors. We rank the search results based on the matched keyword number and the (Formula presented.) rule in the dynamic setting. Our scheme uses only the symmetric encryption primitive. We implement our scheme for COVID-19 data set and the experimental evaluation results show that the proposed scheme is secure and efficient. © 2022 Wiley Periodicals LLC.
data security; forward privacy; multikeyword search; result ranking; searchable encryption; Cryptography; Data privacy; Database systems; Economic and social effects; Query processing; Dynamic settings; Encrypted database; Encryption schemes; Multi keywords; Search scheme; Searchable encryptions; Trade off; Search engines
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
International Journal of Intelligent Systems
Year:
2022
Document Type:
Article
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