Mechanisms for Secure Access to Data of Scientometric Systems Using Virtual DBMS
Abstract
The paper discusses ways to ensure secure access to data when integrating scientometric systems with external systems, based on the use of virtual databases. It presents descriptions of the main methods of implementing virtual databases, shows their advantages and disadvantages, describes how to provide access for export and import of data. The concept of user context, methods of restricting his rights to access and modify data are considered. The presented results can be used in the development of scalable scientometric systems with different levels of access to information. The paper discusses several algorithms for identifying hidden links between scientific publications, journals, and conferences using statistical analysis to process bibliographic data. The paper presents the results of research on automatic finding translations of articles, ambiguity resolution when identifying authors of articles on bibliographic data, determining the degree of thematic proximity of journals and conferences. The presented results can be used for verification of data collected by scientometric systems, improving the quality of analytical processing of scientometric data, for constructing ergonomic interfaces of information systems, and for defining rules for security policies.
References
2. Orlov A.I. Naukometriia i upravlenie nauchnoi deiatelnostiu [Scientometrics and Research Management]. Large-Scale Systems Control. 2013;(44):538-568. (In Russ., abstract in Eng.) EDN: RDQBUH
3. Brichkovskii V.V. Naukometricheskii analiz v informatsionnom obespechenii innovatsionnoi deiatelnosti [Scientometric analysis in the information support of innovation activities]. The Science and Innovations. 2017;(8):64-67. (In Russ., abstract in Eng.) EDN: ZIWGKN
4. Sadovnichii V.A., Vasenin V.A. Intellektualnaia sistema tematicheskogo issledovaniia naukometricheskikh dannykh: predposylki sozdaniia i metodologiia razrabotki. Chast 1 [An intelligent system for the case study of scientometric data: prerequisites for creation and development methodology. Part 1]. Programmnaia inzheneriia = Software Engineering. 2018;9(2):51-58. (In Russ., abstract in Eng.) https://doi.org/10.17587/prin.9.51-58
5. Vasenin V.A., Zanchurin M.A., Kozitsyn A.S., Krivchikov M.A., Shachnev D.A. Arkhitekturno-tekhnologicheskie aspekty razrabotki i soprovozhdeniia bolshikh informatsionno-analiticheskikh sistem v sfere nauki i obrazovaniia [Architectural and technological aspects of the development and maintenance of large information and analytical systems in the field of science and education]. Programmnaia inzheneriia = Software Engineering. 2017;8(10):448-455. (In Russ., abstract in Eng.) https://doi.org/10.17587/prin.8.448-455
6. Vasenin V.A., Zenzinov A.A., Lunev K.V. Ispolzovanie naukometricheskikh informatsionno-analiticheskikh sistem dlia avtomatizatsii provedeniia konkursnykh protsedur na primere informatsionno-analiticheskoi sistemy ISTINA [The use of scientometric information and analytical systems to automate the conduct of competitive procedures on the example of the information and analytical system ISTINA]. Programmnaia inzheneriia = Software Engineering. 2005;7(10):472-480. (In Russ., abstract in Eng.) https://doi.org/10.17587/prin.7.472-480
7. Afonin S.A., Kozitsyn A.S., Shachnev D.A. Programmnye mekhanizmy agregatsii dannykh, osnovannye na ontologicheskom predstavlenii struktury reliatsionnoi bazy naukometricheskikh dannykh [Software data aggregation mechanisms based on the ontological representation of the structure of the relational database of scientometric data]. Programmnaia inzheneriia = Software Engineering. 2016;7(9):408-413. (In Russ., abstract in Eng.) https://doi.org/10.17587/prin.7.408-413
8. Kozitsyn A.S., Afonin S.A., Shachnev D.A. Metod otsenki tematicheskoi blizosti nauchnykh zhurnalov [A method for assessing the thematic proximity of scientific journals]. Programmnaia inzheneriia = Software Engineering. 2020;(6):335-341. (In Russ., abstract in Eng.) https://doi.org/10.17587/prin.11.335-341
9. Kozitsyn A.S., Afonin S.A., Zenzinov A.A. Algoritm opredeleniia perevodov statei s ispolzovaniem statisticheskikh dannykh [Algorithm for determining translations of articles using statistical data]. Russian Digital Libraries Journal. 2018;21(6):494-505. (In Russ., abstract in Eng.) EDN: VVFJBM
10. Kozitsyn A.S., Afonin S.A. Algoritm razresheniia neodnoznachnosti imen avtorov v IAS ISTINA [The algorithm for resolving the ambiguity of the names of authors in the information and analytical system ISTINA]. Modern Information Technologies and IT-Education. 2020;16(1):108-117. (In Russ., abstract in Eng.) https://doi.org/10.25559/SITITO.16.202001.108-117
11. Zenziniov A.A., Zanchurin M.A., Afonin S.A. A quisition and verification of scientometric data. Methods and software tools. CEUR Workshop Proceedings. 2019;2514:356-367. Available at: https://ceur-ws.org/Vol-2514/paper67.pdf (accessed 27.08.2023). (In Russ., abstract in Eng.)
12. Tripathi V., Agarwal R., Pandey P., Ajith Kumar S.P. Security Concerns in Data Warehouses: Implementation and Analysis of Virtual Private Database. In: 2019 6th International Conference on Computing for Sustainable Global Development (INDIACom). New Delhi, India: IEEE Computer Society; 2019. p. 117-120. Available at: https://ieeexplore.ieee.org/document/8991323 (accessed 27.08.2023).
13. Chen H.-Z. Oracle HTML DB Application with Virtual Private Database. System Simulation Technology. 2006;2(4):244-248.
14. Eskandarian S., Zaharia M. ObliDB: Oblivious Query Processing for Secure Databases. Proceedings of the VLDB Endowment. 2019;13(2):169-183. https://doi.org/10.14778/3364324.3364331
15. Han Z., Hu H. ProDB: A memory-secure database using hardware enclave and practical oblivious RAM. Information Systems. 2021;96:101681. https://doi.org/10.1016/j.is.2020.101681
16. Sandhu R.S., Coyne E.J., Feinstein H.L., Youman C.E. Role-Based Access Control Models. Computer. 1996;29(2):38-47. https://doi.org/10.1109/2.485845
17. Afonin S. Ontology Models for Access Control Systems. In: 2018 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC). Vladivostok, Russia: IEEE Computer Society; 2018. p. 1-6. https://doi.org/10.1109/RPC.2018.8482178
18. Jin X., Krishnan R., Sandhu R. A Unified Attribute-Based Access Control Model Covering DAC, MAC and RBAC. In: Cuppens-Boulahia N., Cuppens F., Garcia-Alfaro J. (eds.) Data and Applications Security and Privacy XXVI. DBSec 2012. Lecture Notes in Computer Science. Vol. 7371. Berlin, Heidelberg: Springer; 2012. p. 41-55. https://doi.org/10.1007/978-3-642-31540-4_4
19. Vasenin V.A., Iavtushenko E.D. Sredstva soprovozhdeniia protsessov razgranicheniia dostupa k bolshim naukometricheskim dannym s ispolzovaniem mekhanizmov vizualnogo predstavleniia [Tools for supporting the processes of delimiting access to large scientometric data using visual representation mechanisms]. Programmnaia inzheneriia = Software Engineering. 2020;(3):131-141. (In Russ., abstract in Eng.) https://doi.org/10.17587/prin.11.131-141
20. Servos D., Osborn S. L. Current Research and Open Problems in Attribute-Based Access Control. ACM Computer Surveys. 2017;49(4):65. https://doi.org/10.1145/3007204
21. Spendolini S. Virtual Private Database. Expert Oracle Application Express Security. Apress, Berkeley, CA, 2013. . 211-223. https://doi.org/10.1007/978-1-4302-4732-6_12
22. Liu J., Li X., Wang Sh. What have we learnt from 10 years of fintech research? A scientometric analysis. Technological Forecasting and Social Change. 2020;155:120022. https://doi.org/10.1016/j.techfore.2020.120022
23. Wu P., Wang Z., Wang H., et. al. Visualizing the emerging trends of biochar research and applications in 2019: a scientometric analysis and review. Biochar. 2020;(2):135-150. https://doi.org/10.1007/s42773-020-00055-1
24. Afonin S.A., Gaspariants A.E. Avtomaticheskoe postroenie funkcii ocenki kachestva v zadache razreshenija neodnoznachnosti imen avtorov nauchnyh publikacij [Construction of Quality Func-tion for Scientific Papers Author Names Disambiguation Problem Using Supervised Learning Techniques]. Programmnaia inzheneriia = Software Engineering. 2015;(10):31-37. (In Russ., abstract in Eng.) EDN: UNEXBN
25. Kozitsin A.S., Afonin S.A. Razreshenie neodnoznachnostej pri opredelenii avtorov publikacii s ispol'zovanie grafov soavtorstva v bol'shih kollekcijah bibliograficheskih dannyh [The Resolution of Ambiguities in the Identification of Authors of the Publication with the Use of Co-Authors Graphs in Large Collections of Bibliograph-ic Data]. Programmnaia inzheneriia = Software Engineering. 2017;8(12):556-562. (In Russ., abstract in Eng.) https://doi.org/10.17587/prin.8.556-562
This work is licensed under a Creative Commons Attribution 4.0 International License.
Publication policy of the journal is based on traditional ethical principles of the Russian scientific periodicals and is built in terms of ethical norms of editors and publishers work stated in Code of Conduct and Best Practice Guidelines for Journal Editors and Code of Conduct for Journal Publishers, developed by the Committee on Publication Ethics (COPE). In the course of publishing editorial board of the journal is led by international rules for copyright protection, statutory regulations of the Russian Federation as well as international standards of publishing.
Authors publishing articles in this journal agree to the following: They retain copyright and grant the journal right of first publication of the work, which is automatically licensed under the Creative Commons Attribution License (CC BY license). Users can use, reuse and build upon the material published in this journal provided that such uses are fully attributed.
