Approach to Managing Data From Diverse Sources

Yesin, V.I.; Karpinski, Mikolaj; Yesina, M.V.; Vilihura, V.V.; Veselska, Olga; Więcław, Łukasz

doi:10.1109/idaacs.2019.8924235

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…For this purpose, the commands (statements) GRANT / REVOKE of the SQL standard are used. In addition, taking into account the peculiarities of the schema and the possibilities of using the DB with UBR [6,7], an additional mechanism for granting privileges was developed, implemented within the framework of RLS (Row Level Security) technology (also known as Fine Grained Access Control (FGAC) and Virtual Private Database (VPD)) [34][35][36][37][38][39], which required the introduction of some additional relations to the existing basic schema of the database with UBR:…”

Section: Applying the Clark-wilson Model Recommendations To Ensure The Integrity Of Databases With The Universal Basis Of Relationsmentioning

confidence: 99%

“…The expediency of researching precisely databases built on the basis of a schema with the universal basis of relations, implemented within the framework of the relational data model, is due to the fact that, first, this will make sure that the data and programs stored in them are secure from the point of view of their integrity. Second, based on their example (in view of the fact that databases with UBR can be used as an ordinary database, as a data warehouse for various subject domains (SDs), or as a configuration database of the dataspace management environment [7]), when applying certain new approaches, it becomes possible to develop a holistic solution that ensures the security of databases and data warehouses. Separate elements of such a solution can be used to protect databases and data warehouses with various models (relational, NoSQL, and NewSQL [8][9][10][11][12][13][14]) as well.…”

Section: Introductionmentioning

confidence: 99%

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Ensuring Data Integrity in Databases with the Universal Basis of Relations

et al. 2021

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The objective of the paper was to reveal the main techniques and means of ensuring the integrity of data and persistent stored database modules implemented in accordance with the recommendations of the Clark–Wilson model as a methodological basis for building a system that ensures integrity. The considered database was built according to the schema with the universal basis of relations. The mechanisms developed in the process of researching the problem of ensuring the integrity of the data and programs of such a database were based on the provisions of the relational database theory, the Row Level Security technology, the potential of the modern blockchain model, and the capabilities of the database management system on the platform of which databases with the universal basis of relations are implemented. The implementation of the proposed techniques and means, controlling the integrity of the database of stored elements, prevents their unauthorized modification by authorized subjects and hinders the introduction of changes by unauthorized subjects. As a result, the stored data and programs remain correct, unaltered, undistorted, and preserved. This means that databases built based on a schema with the universal basis of relations and supported by such mechanisms are protected in terms of integrity.

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Section: Applying the Clark-wilson Model Recommendations To Ensure The Integrity Of Databases With The Universal Basis Of Relationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ensuring Data Integrity in Databases with the Universal Basis of Relations

et al. 2021

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“…In the DB with UBR, which can be used as an ordinary DB, a data warehouse of various subject domains (SDs) or a configuration DB of the dataspace management environment [73][74][75], various security measures are implemented [76][77][78][79][80]. These measures are based on the provisions of the theory of relational databases [8,30,81], formal access control models [82,83] and ensuring data integrity [84], the potential of the modern blockchain model [85,86], row-level security (RLS) technology [87], SQL capabilities [45].…”

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confidence: 99%

Technique for Evaluating the Security of Relational Databases Based on the Enhanced Clements–Hoffman Model

et al. 2021

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Obtaining convincing evidence of database security, as the basic corporate resource, is extremely important. However, in order to verify the conclusions about the degree of security, it must be measured. To solve this challenge, the authors of the paper enhanced the Clements–Hoffman model, determined the integral security metric and, on this basis, developed a technique for evaluating the security of relational databases. The essence of improving the Clements–Hoffmann model is to expand it by including a set of object vulnerabilities. Vulnerability is considered as a separate objectively existing category. This makes it possible to evaluate both the likelihood of an unwanted incident and the database security as a whole more adequately. The technique for evaluating the main components of the security barriers and the database security as a whole, proposed by the authors, is based on the theory of fuzzy sets and risk. As an integral metric of database security, the reciprocal of the total residual risk is used, the constituent components of which are presented in the form of certain linguistic variables. In accordance with the developed technique, the authors presented the results of a quantitative evaluation of the effectiveness of the protection of databases built on the basis of the schema with the universal basis of relations and designed in accordance with the traditional technology of relational databases.

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Requirements for a Digital Twin for Energy, Social, and Governance Data of Commercial Buildings

Chungath,

Hacks

2024

Enterprise, Business-Process and Information Systems Modeling

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Approach to Managing Data From Diverse Sources

Cited by 5 publications

References 9 publications

Ensuring Data Integrity in Databases with the Universal Basis of Relations

Ensuring Data Integrity in Databases with the Universal Basis of Relations

Technique for Evaluating the Security of Relational Databases Based on the Enhanced Clements–Hoffman Model

Requirements for a Digital Twin for Energy, Social, and Governance Data of Commercial Buildings

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