Technique for Searching Data in a Cryptographically Protected SQL Database

The growing popularity of data outsourcing to third-party cloud servers has a downside, related to the serious concerns of data owners about their security due to possible leakage. The desire to reduce the risk of loss of data confidentiality has become a motivating start to developing mechanisms th...

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Published in:Applied sciences Vol. 13; no. 20; p. 11525
Main Authors: Yesin, Vitalii, Karpinski, Mikolaj, Yesina, Maryna, Vilihura, Vladyslav, Kozak, Ruslan, Shevchuk, Ruslan
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.10.2023
Subjects:
Confidentiality
Data encryption
Data integrity
Data security
database management system (DBMS)
encryption
Methods
Queries
searchable encryption
security
Servers
Software
Structured Query Language-SQL
Usability
Germany
Ukraine
ISSN:2076-3417, 2076-3417
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Abstract The growing popularity of data outsourcing to third-party cloud servers has a downside, related to the serious concerns of data owners about their security due to possible leakage. The desire to reduce the risk of loss of data confidentiality has become a motivating start to developing mechanisms that provide the ability to effectively use encryption to protect data. However, the use of traditional encryption methods faces a problem. Namely, traditional encryption, by making it impossible for insiders and outsiders to access data without knowing the keys, excludes the possibility of searching. This paper presents a solution that provides a strong level of confidentiality when searching, inserting, modifying, and deleting the required sensitive data in a remote database whose data are encrypted. The proposed SQL query processing technique allows the DBMS server to perform search functions over encrypted data in the same way as in an unencrypted database. This is achieved through the organization of automatic decryption by specially developed secure software of the corresponding data required for search, without the possibility of viewing these data itself. At that, we guarantee the integrity of the stored procedures used and special tables that store encrypted modules of special software and decryption keys, the relevance and completeness of the results returned to the application. The results of the analysis of the feasibility and effectiveness of the proposed solution show that the proper privacy of the stored data can be achieved at a reasonable overhead.
AbstractList The growing popularity of data outsourcing to third-party cloud servers has a downside, related to the serious concerns of data owners about their security due to possible leakage. The desire to reduce the risk of loss of data confidentiality has become a motivating start to developing mechanisms that provide the ability to effectively use encryption to protect data. However, the use of traditional encryption methods faces a problem. Namely, traditional encryption, by making it impossible for insiders and outsiders to access data without knowing the keys, excludes the possibility of searching. This paper presents a solution that provides a strong level of confidentiality when searching, inserting, modifying, and deleting the required sensitive data in a remote database whose data are encrypted. The proposed SQL query processing technique allows the DBMS server to perform search functions over encrypted data in the same way as in an unencrypted database. This is achieved through the organization of automatic decryption by specially developed secure software of the corresponding data required for search, without the possibility of viewing these data itself. At that, we guarantee the integrity of the stored procedures used and special tables that store encrypted modules of special software and decryption keys, the relevance and completeness of the results returned to the application. The results of the analysis of the feasibility and effectiveness of the proposed solution show that the proper privacy of the stored data can be achieved at a reasonable overhead.
Audience Academic
Author Kozak, Ruslan
Karpinski, Mikolaj
Vilihura, Vladyslav
Yesina, Maryna
Shevchuk, Ruslan
Yesin, Vitalii
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SubjectTerms Confidentiality
Data encryption
Data integrity
Data security
database management system (DBMS)
encryption
Methods
Queries
searchable encryption
security
Servers
Software
Structured Query Language-SQL
Usability
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