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Towards more secure constructions of adjustable join schemes
, Article IEEE Transactions on Dependable and Secure Computing ; Volume 19, Issue 2 , 2022 , Pages 1078-1089 ; 15455971 (ISSN) ; Rafiee, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
An adjustable join (AdjoinAdjoin) scheme [4] is a symmetric-key primitive that enables a user to securely outsource his database to a server, and later to issue join queries for a pair of columns. When queries are extended to a list of columns, the 3Partition3Partition security of Adjoin schemes [8] does not capture the expected security. To address this deficiency, we introduce the syntax and security notion of multi-adjustable join (M-AdjoinM-Adjoin) schemes. We propose a new security notion for this purpose, which we refer to as M3PartitionM3Partition. The 3Partition3Partition security of AdjoinAdjoin extends to the M3PartitionM3Partition security of M-AdjoinM-Adjoin in a straightforward...
AS5: A secure searchable secret sharing scheme for privacy preserving database outsourcing
, Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Pisa ; Volume 7731 LNCS , 2013 , Pages 201-216 ; 03029743 (ISSN) ; 9783642358890 (ISBN) ; Damiani, E ; Jalili, R ; Cimato, S ; Ganjei, Z ; Sharif University of Technology
2013
Abstract
Researchers have been studying security challenges of database outsourcing for almost a decade. Privacy of outsourced data is one of the main challenges when the "Database As a Service" model is adopted in the service oriented trend of the cloud computing paradigm. This is due to the insecurity of the network environment or even the untrustworthiness of the service providers. This paper proposes a method to preserve privacy of outsourced data based on Shamir's secret sharing scheme. We split attribute values into several parts and distribute them among untrusted servers. The problem of using secret sharing in data outsourcing scenario is how to search efficiently within the randomly...
A Secure DBMS Architecture to Preserve Data Privacy, Confidentiality, and Integrity
, M.Sc. Thesis Sharif University of Technology ; Jalili, Rasool (Supervisor)
Abstract
While data outsourcing provides some benefits, it suffers from new privacy and security concerns, mainly about the confidentiality and integrity of the stored sensitive data, as well as enforcing access control policies. Current solutions to these aims are not comprehensive and consider only one aspect of security requirements. A secure DBMS architecture is introduced that simultaneously considers confidentiality, integrity and access control enforcement requirements. The transparency of security functions from data owner, service providers, and applications facilitates the operationality of the solution.Additionally, a new indexing technique for character encrypted data is proposed that...
Preventing database schema extraction by error message handling
, Article Information Systems ; Volume 56 , 2016 , Pages 135-156 ; 03064379 (ISSN) ; Amini, M ; Sharif University of Technology
Elsevier Ltd
Abstract
Nowadays, a large volume of an organization's sensitive data is stored in databases making them attractive to attackers. The useful information attackers try to obtain in the preliminary steps, is the database structure or schema. One of the popular approaches to infer and extract the schema of a database is to analyze the returned error messages from its DBMS. In this paper, we propose a framework to handle and modify the error messages automatically in order to prevent schema revealing. To this aim, after identifying and introducing an appropriate set of categories of error messages, each error message that is returned from a DBMS is placed in a proper category. According to the policy...