| rus | eng |

Gaifulina (Levshun) Diana Albertovna

Citizenship: Russia Address academic (office): St.Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences 39, 14th Liniya, St.-Petersburg, 199178, Russia Tel.: +7-(812)-328-7181 Fax: +7-(812)-328-4450 Position: Junior Research fellow Gaifulina Diana Albertovna, junior research fellow of Laboratory of Cybersecurity and Post-quantum Cryptography of the St. Petersburg Institute for Informatics and Automation of the Russian Academy of Science. E-mail: gaifulina[AT]comsec[DOT]spb[DOT]ru http://comsec.spb.ru/gaifulina/

Top 

Top 

• 2013-2017 - student of Orenburg State University (OSU), faculty of mathematics and information technology, Orenburg,
• 2017 - bachelor's degree in specialty 10.03.01 "Information security", profile " Complex protection of informatization objects"
• 2017-2019 - student St. Petersburg national research University of information technologies, mechanics and optics (ITMO University), faculty of information technology security, St. Petersburg
• 2019 – master's degree in specialty 10.04.01 "Information security", profile "Security of cyber-physical systems"

Top 

• SPIN-code: 1873-8829 (http://elibrary.ru/)
• eLIBRARY ID: 985612
• Google scholar: Gjgdh6wAAAAJ

Programs and databases

2020

1. Diana Gayfulina, Saenko Igor. Categorized Web Content Database. Certificate No. 2020665857. Registered in the Computer Program Registry 10.12.2020.

   

2. Dmitry Levshun, Diana Gayfulina. Component for analyzing the behavior of users with the greatest dynamics of the results of Ammon's Ya-structured test. Certificate No. 2020666552. Registered in the Computer Program Registry 11.12.2020.

   

2019

1. Andrey Fedorchenko, Diana Gayfulina, Igor Kotenko. A software component for the structural analysis of network information objects in a system of distributed intelligent scanners. Certificate No. 2019666070. Registered in the Computer Program Registry 04.12.2019.

Top 

Current Grants and Projects

• Igor Kotenko (Principal Investigator). Grant of Russian Science Foundation № 21-71-20078 " Analytical processing of large arrays of heterogeneous data in the interests of state assessment, decision support and incident investigation to ensure cybersecurity of critical infrastructures", 2021-2024 (Researcher).
  RSCF_21-71-20078_Report_2021_eng.pdf [application/pdf] (303137 bytes)
  RSCF_21-71-20078_Report_2021_rus.pdf [application/pdf] (404167 bytes)
  RSCF_21-71-20078_Report_2022_eng.pdf [application/pdf] (83106 bytes)
  RSCF_21-71-20078_Report_2022_rus.pdf [application/pdf] (86478 bytes)
  RSCF_21-71-20078_Report_2023_eng.pdf [application/pdf] (613891 bytes)
  RSCF_21-71-20078_Report_2023_rus.pdf [application/pdf] (752342 bytes)

Former Projects

• Elena Doynikova (Principal Investigator). “Techniques of security assessment and response to cyber attacks in the industrial Internet of Things based on the ontology of security metrics and methods of intellectual analysis of big data”. Research grant # 19-07-01246 A of Russian Foundation of Basic Research, 2019-2021 (Researcher).
  Report-2019-19-07-01246-a-short.pdf [application/pdf] (215676 bytes)
  Report-2020-19-07-01246-a-short.pdf [application/pdf] (203097 bytes)
  Report-2021-19-07-01246-a-short.pdf [application/pdf ] (400195 bytes)
• Andrey Chechulin (Principal Investigator). "Security Aspects of Cyberphysical Systems". Research grant # 19-17-50205 of Russian Foundation of Basic Research, 2019-2020 (Researcher).
• Igor Kotenko (Principal Investigator) – State Contract No. 05.607.21.0322 "Development of methods, models, algorithms and software tools based on detecting deviations in heuristics of ultra-high volume traffic to detect network attacks and protect against them". Project of Russian Ministry of Education and Science in scope of the Program "Research and development in priority directions of evolution of the scientific and technological complex of Russia on 2014-2020", 2019-2020 (Researcher).
  Report-FTP-Results-05.607.21.0322.pdf [application/pdf] (204912 bytes)
• Igor Kotenko (Principal Investigator). NIR-FUND of ITMO University № 717075 "Methods, Models, Methods, Algorithms, Protocols and Applications for ensuring Information Security of Cyber-Physical Systems", 2017-2019 (Researcher).

Top 

Papers

2024

1. D.A. Levshun, D.S. Levshun, E.V. Doynikova, A.A. Branitskiy A., I.V. Kotenko. Considerations on sentiment of social network posts as a feature of destructive impacts // AI Communications. 2024. Т. 37. № 4. С. 585-598. DOI: 10.3233/aic-230154 // https://elibrary.ru/item.asp?id=74004030
2. D.A. Levshun. Approach for darknet traffic analysysbased on graph neural networks // Informatization and communication. 2024. No. 4. pp. 102-108. DOI: 10.34219/2078-8320-2024-15-102-108 // https://www.elibrary.ru/item.asp?id=73603871 (in Russian).
3. D.A. Levshun D.A. Application of machine learning methods in darknet traffic analysis // In the collection: Actual problems of infotelecommunications in science and education (Apino 2024). Collection of scientific articles of the XIII International Scientific, technical and scientific-methodical conference in 4 volumes.. St. Petersburg, 2024. pp. 547-551 // https://www.elibrary.ru/item.asp?id=67337435&pff=1 (in Russian).

2023

1. Diana Levshun, Igor Kotenko. A survey on artificial intelligence techniques for security event correlation: models, challenges, and opportunities // Artificial Intelligence Review. 2023. Vol.56, № 8, pp. 8547-8590, DOI: 10.1007/s10462-022-10381-4, https://doi.org/10.21203/rs.3.rs-1975426/v1 // https://www.elibrary.ru/item.asp?id=60364090
2. O. Tushkanova, D. Levshun, A. Branitskiy, E. Fedorchenko, E. Novikova, I. Kotenko. Detection of Cyberattacks and Anomalies in Cyber-Physical Systems: Approaches, Data Sources, Evaluation // Algorithms, vol. 16, no. 2, 2023, pp. 85. DOI: 10.3390/a16020085.// https://www.elibrary.ru/item.asp?id=60517408
3. D.A. Levshun, I.V. Kotenko. Application of Intelligent Methods of Correlation of System Events in Predictive Analysis of Security States of Objects of Critical Infrastructure // Pattern Recognition and Image Analysis. 2023. 33(3). pp. 389-397. DOI: 10.1134/S1054661823030264 // https://elibrary.ru/item.asp?id=55186592
4. Vasily Desnitsky, Diana Levshun, Igor Kotenko. An Approach to Attack Detection on Graph-Based Modeling of States in Critical Infrastructures // 2023 International Russian Automation Conference (RusAutoCon). 2023. DOI: 10.1109/RusAutoCon58002.2023.10272943
5. Diana Gaifulina, Alexander Branitskiy, Dmitry Levshun, Elena Doynikova, Igor Kotenko. Sentiment Analysis of Social Network Posts for Detecting Potentially Destructive Impacts // Intelligent Distributed Computing XV. Studies in Computational Intelligence. 2023. pp. 203-212. DOI: 10.1007/978-3-031-29104-3_23
6. Diana Levshun, Igor Kotenko. Intelligent Graph-Based Correlation of Security Events in Cyber-Physical Systems // Proceedings of the Seventh International Scientific Conference «Intelligent Information Technologies for Industry» (IITI’23). Lecture Notes in Networks and Systems. 2023. pp. 115-124. DOI: 10.1007/978-3-031-43792-2_12
7. I.V. Kotenko, D.A. Levshun. Methods of intelligent system event analysis for multistep cyber-attack detection: using knowledge bases // Artificial intelligence and decision-making. 2023. No. 2. pp. 3-14. DOI: 10.14357/20718594230201 // https://elibrary.ru/item.asp?id=54105805 (in Russian).
8. I.V. Kotenko, D.A. Levshun. Methods of intelligent system event analysis for multistep cyber-attack detection: using machine learning methods // Artificial intelligence and decision-making. 2023. No. 3. pp. 3-15. DOI: 10.14357/20718594230301 // https://elibrary.ru/item.asp?id=54684774 (in Russian).
9. D.A. Levshun, D.S. Levshun. Approach for keylogger detection based on artificial intelligence methods // Informatization and Communications. 2023. No. 3. pp. 85-91. DOI: 10.34219/2078-8320-2023-14-3-85-91 // https://elibrary.ru/item.asp?id=54668230 (in Russian).
10. I.V. Kotenko, D.A.Levshun. Algorithm for cause-and-effect correlation of security events in cyber-physical systems on the basis of intelligent graph-oriented approach // Actual problems of infotelecommunications in science and education (APINO 2023). Collection of scientific articles. XII International Scientific-technical and scientific-methodical Conference. In 4 t .. St. Petersburg, 2023. pp. 669-674. // https://elibrary.ru/item.asp?id=54033666 (in Russian).

2022

1. Elena Doynikova, Evgenia Novikova, Ivan Murenin, Maxim Kolomeec, Diana Gaifulina, Olga Tushkanova, Dmitry Levshun, Alexey Meleshko, Igor Kotenko. Security Measuring System for IoT Devices // Lecture Notes in Computer Science. 2022. Т. 13106 LNCS. С. 256-275. DOI: 10.1007/978-3-030-95484-0_16 // https://elibrary.ru/item.asp?id=48184836
2. Evgenia Novikova, Diana Gaifulina, Elena Doynikova, Igor Kotenko. Construction and Analysis of Integral User-Oriented Trustworthiness Metrics // Electronics 2022, 11(2), 234, Порядковый номер: 234. DOI: 10.3390/electronics11020234 // https://elibrary.ru/item.asp?id=48142369
3. Igor Kotenko, Diana Gaifulina, I. Zelichenok. Systematic literature review of security event correlation methods // IEEE Access. 2022. Т. 10. С. 43387-43420. DOI: 10.1109/ACCESS.2022.3168976 // https://elibrary.ru/item.asp?id=48581809
4. E.V. Fedorchenko (Doynikova), E.S. Novikova, I.V. Kotenko, D.A. Gayfulina, O.N. Tushkanova, D.S. Levshun, A.V. Meleshko , I.N. Murenin, M.V. Kolomeets. The security and privacy measuring system for the internet of things devices // Cybersecurity issues. 2022. No. 5 (51). pp. 28-46. DOI: 10.21681/2311-3456-2022-5-28-46 // https://elibrary.ru/item.asp?id=50310106 (in Russian).
5. D.A. Levshun. Model of combined application of intelligent methods of correlation of information security events // News of higher educational institutions. Instrumentation. 2022. Vol. 65. No. 11. pp. 833-841. DOI: 10.17586/0021-3454-2022-65-11-833-841 // https://elibrary.ru/item.asp?id=49958781 (in Russian).
6. Diana Gajfulina, Igor Kotenko. Security event processing models in intelligent systems for monitoring and assessing the security of critical infrastructures // In the collection: Actual problems of infotelecommunications in science and education (APINO 2022). XI International Scientific-technical and scientific-methodical conference. Saint Petersburg, 2022. pp. 319-324. // https://elibrary.ru/item.asp?id=49522708 (in Russian).
7. Diana Gaifulina, Igor Kotenko, Elena Fedorchenko. Sentiment analysis of social network posts for destructive impacts detection // In the collection: Actual problems of infotelecommunications in science and education (APINO 2022). XI International Scientific-technical and scientific-methodical conference. St. Petersburg, 2022. pp. 324-328. // https://www.elibrary.ru/item.asp?id=49522709 (in Russian).
8. I.V. Kotenko, D.A. Levshun. Application of intelligent methods of system event correlation in predictive analytics of security states of critically important infrastructure objects // In the collection: The Twentieth National Conference on Artificial Intelligence with International Participation, CII-2022. Proceedings of the conference. In 2 volumes. Moscow, 2022. pp. 152-167. // https://elibrary.ru/item.asp?id=50296597 (in Russian).
9. D.S. Levshun, D.A. Gayfulina. Investigation of the role of assessing the tonality of text publications in solving the problem of identifying destructive information influences // In the collection: Pedagogy and psychology in medicine: problems, innovations, achievements. proceedings of the II All-Russian Scientific Congress with international participation. Moscow, 2022. pp. 114-118. // https://elibrary.ru/item.asp?id=49903579 (in Russian).
10. D.A. Levshun, I.V. Kotenko. Architecture of the security event correlation system based on data mining // In the book: Regional Informatics (RI-2022). Jubilee XVIII St. Petersburg International Conference. Conference materials. Saint Petersburg, 2022. pp. 171-172. // https://elibrary.ru/item.asp?id=49977211 (in Russian).

2021

1. Doynikova Elena, Novikova Evgenia, Gaifulina Diana, Kotenko Igor. Towards Attacker Attribution for Risk Analysis // Lecture Notes in Computer Science. 2021. Т. 12528 LNCS. С. 347-353. // DOI:10.1007/978-3-030-68887-5_22 // https://elibrary.ru/item.asp?id=46756437
2. Igor Kotenko, Igor Saenko, Alexander Branitskiy, Igor Paraschuk, Diana Gayfullina. Intelligent system of analytical processing of digital network content for protection against inappropriate information // Informatics and automation. 2021. Vol. 20. No. 4. pp. 755-792. DOI: 10.15622/ia.20.4.1 // https://elibrary.ru/item.asp?id=46506070 (in Russian).
3. Diana Gaifulina, Igor Kotenko. Selection of deep neural network models for iot anomaly detection experiments // В сборнике: Proceedings - 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2021. 29. 2021. С. 260-265. DOI: 10.1109/PDP52278.2021.00049 // https://elibrary.ru/item.asp?id=46082400
4. Elena Fedorchenko, Eugenia Novikova, Diana Gayfullina, Igor Kotenko. Attacker profiling based on the network traffic analysis // Control systems, communications and security. 2021. No. 6. pp. 76-89. DOI: 10.24412/2410-9916-2021-6-76-89 // https://elibrary.ru/item.asp?id=47416445 (in Russian).
5. Diana Gaifulina, Igor Kotenko. Analysis of criteria for the classification of approaches to security events correlation // In the collection: Actual problems of infotelecommunications in science and education (APINO 2021). collection of scientific articles: in 4 t .. St. Petersburg State University of Telecommunications named after Prof. M.A. Bonch-Bruevich. Saint Petersburg, 2021. pp. 206-210. // https://elibrary.ru/item.asp?id=46275393 (in Russian).
6. D.A. Gaifullina. Basic systematization criteria for approaches to security events correlation // XII St. Petersburg Interregional Conference "Information Security of Russian regions" (IBRR-2021). 2021. T 1. pp. 73-75 http://www.spoisu.ru/files/ibrr/ibrr2021/ibrr2021_materials.pdf // https://elibrary.ru/item.asp?id=49241019 (in Russian).
7. E.V. Fedorchenko, E.S. Novikova, D.A. Gayfulina, I.V. Kotenko. Attacker profiling for security analysis and response to cyber incidents // In the collection: Actual problems of protection and security: Proceedings of the XXIV All-Russian Scientific and Practical Conference RARAN (March 31 - April 3, 2021). 2021. Volume 1. pp. 144-148 // https://www.elibrary.ru/item.asp?id=48010763 (in Russian).

2020

1. Dmitry Levshun, Diana Gaifulina, Andrey Chechulin and Igor Kotenko. Problematic Issues of Information Security of Cyber-Physical Systems // Informatics and Automation. Vol. 19. No. 5. 2020. P. 1050-1088. ISSN 2078-9181 (2078-9599). DOI: 10.15622/ia.2020.19.5.6. // https://elibrary.ru/item.asp?id=44269284 (in Russian).
2. Diana Gaifulina, Andrey Chechulin. Development of the Complex Algorithm for Web Pages Classification to Detection Inappropriate Information on the Internet // Studies in Computational Intelligence, Vol.868, 2020. P.278-284. DOI:10.1007/978-3-030-32258-8_33 // https://elibrary.ru/item.asp?id=43219502
3. Maxim Kolomeets, Andrey Chechulin, Ksenia Zhernova, Igor Kotenko, Diana Gaifulina. Augmented reality for visualizing security data for cybernetic and cyberphysical systems // Proceedings-2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), March 11-13, 2020, Vasteras, Sweden. P. 421-428. DOI: 10.1109/PDP50117.2020.00071 // https://elibrary.ru/item.asp?id=43284316
4. Diana Gaifulina, Igor Kotenko. Application of deep learning methods in cybersecurity tasks. Part 1 // Cybersecurity issues. 2020. No. 3 (37). P 76-86. DOI: 10.21681/2311-3456-2020-03-76-86 // https://elibrary.ru/item.asp?id=43976797 (in Russian).
5. Diana Gaifulina, Igor Kotenko Application of deep learning methods in cybersecurity tasks. Part 2 // Questions of Cybersecurity. 2020. No. 4 (38). pp. 11-21. DOI: 10.21681/2311-3456-2020-04-11-21 // https://elibrary.ru/item.asp?id=44149486 (in Russian).
6. Diana Gaifulina. Analysis of structurally undefined network traffic payload of industrial cyber-physical systems // IX International Scientific, Technical and Scientific Methodological Conference "Actual Problems of Information Telecommunications in Science and Education" (APINO-2020). February 26-27, 2020. Collection of scientific articles. Volume 1. SPb., 2020. P. 302-307. // https://elibrary.ru/item.asp?id=44604017 (in Russian).
7. Diana Gaifulina, Igor Kotenko. Analysis of deep learning methods for intrusion detection tasks // IX International Scientific, Technical and Scientific Methodological Conference "Actual Problems of Information Telecommunications in Science and Education" (APINO-2020). February 26-27, 2020. Collection of scientific articles. Volume 1. SPb., 2020. P. 308-313. // https://elibrary.ru/item.asp?id=44604018 (in Russian).
8. Yu. E. Bakhtin, S. N. Bushuev, D. A. Gaifulina, K. N. Zhernova, A. Yu. Ivanov, V. I. Komashinsky, I. V. Kotenko Methods of experimental evaluation of the effectiveness of human-computer interaction in visual analytics // IX International scientific-technical and scientific-methodological conference "Actual problems of infotelecommunications in science and education" (APINO-2020)". February 26-27, 2020. Collection of scientific articles. 2020. Vol. 1. Р. 120-123 // https://elibrary.ru/item.asp?id=44603978 (in Russian).
9. D.A. Gaifulina. Selection of classification criteria for cyber-physical systems to identify attack vectors // XVII St. Petersburg International Conference " Regional Informatics (RI-2020)". St. Petersburg, October 28-30, 2020, part 1., pp. 127-129 http://www.spoisu.ru/files/ri/ri2020/ri2020_materials_1.pdf // https://elibrary.ru/item.asp?id=49390747 (in Russian).
10. D. A. Gaifulina, I. V. Kotenko Place and role of correlation of security events in cloud systems based on deep learning methods // XVII St. Petersburg International Conference " Regional Informatics (RI-2020)". St. Petersburg, October 28-30, 2020, part 1., p. 129-131 http://www.spoisu.ru/files/ri/ri2020/ri2020_materials_1.pdf // https://elibrary.ru/item.asp?id=49390763 (in Russian).
11. E. V. Doynikova, A.V. Fedorchenko, D. A. Gaifulina Technique for selection of countermeasures against cyber attacks based on the ontology of security metrics // XVII St. Petersburg International Conference " Regional Informatics (RI-2020)". St. Petersburg, October 28-30, 2020, part 1., pp. 137-138 eLIBRARY ID: 46542004 http://www.spoisu.ru/files/ri/ri2020/ri2020_materials_1.pdf // https://elibrary.ru/item.asp?id=49390760 (in Russian).
12. K. N. Zhernova, D. A. Gaifulina, A. Yu. Ivanov, V. I. Komashinsky. Mobile network visualization data Management using touch screens // XVII St. Petersburg International Conference " Regional Informatics (RI-2020)". St. Petersburg, October 28-30, 2020, part 1., pp. 138-139 http://www.spoisu.ru/files/ri/ri2020/ri2020_materials_1.pdf // https://elibrary.ru/item.asp?id=49390759 (in Russian).
13. D. A. Gayfulina. Analysis of protection methods for cyberp-hysical systems // Perspective directions of development of domestic information technologies: materials of the VI interregional scientific and practical conference, Sevastopol, September 22-26, 2020, pp. 223-224. http://www.spoisu.ru/files/pnroit/pnroit-2020_materials.pdf // https://elibrary.ru/item.asp?id=45844822 (in Russian).
14. D.A. Gayfulina. Analysis of vulnerabilities of cyber-physical systems // Perspective directions of development of domestic information technologies: materials of the VI Interregional scientific and practical conference, Sevastopol, September 22-26, 2020, pp. 225-226. http://www.spoisu.ru/files/pnroit/pnroit-2020_materials.pdf // https://elibrary.ru/item.asp?id=45844823 (in Russian).
15. E.V. Doynikova, E.S. Novikova, D.A. Gayfullina, I.V. Kotenko. Defining a set of attributes for forming an attacker's profile when analyzing information security risks // In the book: Regional Informatics (RI-2020). XVII St. Petersburg International Conference. Conference materials. St. Petersburg, 2020. pp. 136-137. // https://www.elibrary.ru/item.asp?id=49390591 (in Russian).

2019

1. Diana Gaifulina, Andrey Fedorchenko, Igor Kotenko. Network Protocols Determination Based on Raw Data Analysis for Security Assesment under Uncertainty // The 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS 2019). 18-21 September, 2019, Metz, France. pp. 163-167. DOI: 10.1109/IDAACS.2019.8924349 // https://elibrary.ru/item.asp?id=43217877 (WoS, Scopus).
2. Diana Gaifulina, Andrey Chechulin. Development of the Complex Algorithm for Web Pages Classification to Detection Inappropriate Information on the Internet // 13th International Symposium on Intelligent Distributed Computing (IDC 2019), Saint-Petersburg, Russia, 7-9 October 2019.
3. Diana Gaifulina, Andrey Fedorchenko, Igor Kotenko. Lexical marking of network traffic data for security assessment // Information security. Inside. 2019. №. 6(90). pp. 56-60. // https://elibrary.ru/item.asp?id=41494731 (in Russian).
4. Nina Vanchakova, Andrey Bogatyrev, Natalia Krasilnikova, Diana Gaifulina, Igor Kotenko, Alexander Branitskiy. Media portrait of an individual as a basis for identifying the destructive style of interaction of young people in social network // Modern High Technologies, 2019. № 11-2 Р. 319-325. DOI: 10.17513/snt.37811 // https://elibrary.ru/item.asp?id=41594376 (in Russian).
5. Elena Doynikova, Diana Gaifulina, Roman Kryukov. Identification of signs of cyberattack targets based on the analysis of security data in open sources // Trends in the development of science and education, 2019. No. 56-2 P. 36-41 DOI: 10.18411/lj-11-2019-33 // https://elibrary.ru/item.asp?id=43073434 (in Russian).
6. Diana Gaifulina, Igor Kotenko, Andrey Fedorchenko. A Technique for Lexical Markup of Structured Binary Data for Problems of Protocols Analysis in Uncertainty Conditions // Systems of Control, Communication and Security, 2019, № 4, pp. 280-299. DOI: 10.24411/2410-9916-2019-10411. // https://elibrary.ru/item.asp?id=41567819 (in Russian).
7. D. A. Gaifullina. Methodology of data transmission medium traffic analysis in cybernetic systems for detecting network anomalies // In the collection: Almanac of scientific works of young scientists of ITMO University. XLVIII Scientific and educational-methodical conference of ITMO University. 2019. pp. 14-19. // https://elibrary.ru/item.asp?id=42160896 (in Russian).
8. Diana Gaifulina, Elvira Khakimova, Andrey Chechulin. Development of a complex algorithm for websites classification to detect inappropriate content on the Internet // VIII International scientific-technical and scientific-methodological Conference "Actual problems of infotelecommunications in science and education" (APINO 2019). St. Petersburg, February 27-28, 2019 (collection of scientific articles) Vol.1. pp.312-317. https://www.sut.ru/doci/nauka/1AEA/APINO/8-APINO%202019.%20Т.1.pdf // https://elibrary.ru/item.asp?id=41383544 (in Russian).
9. Diana Gaifulina. Application of the technique of analysis of binary data of network traffic for the identification of anomalies under uncertain specifications of data transmission protocols // XI St. Petersburg Interregional Conference «Information Security of Russian Regions (ISRR-2019)», October 23-25, 2019, Russia, St. Petersburg. 2019. pp.108-110. http://www.spoisu.ru/files/ibrr/ibrr2019/ibrr2019_materials.pdf // https://elibrary.ru/item.asp?id=45842693 (in Russian).
10. Diana Gaifulina. Development and research of a compositional algorithm for classifying web pages for detecting inappropriate content on the Internet // XI St. Petersburg Interregional Conference «Information Security of Russian Regions (ISRR-2019)», October 23-25, 2019, Russia, St. Petersburg. 2019. pp.110-112. http://www.spoisu.ru/files/ibrr/ibrr2019/ibrr2019_materials.pdf // https://elibrary.ru/item.asp?id=45842692 (in Russian).
11. D.A. Gayfulina, E.R. Khavanskaya, A.A. Chechulin. Development of a complex algorithm for websites classification to detect inappropriate content on the internet // In the collection: Actual problems of infotelecommunications in science and education (APINO 2019). collection of scientific articles of the VIII International Scientific-Technical and Scientific-methodological Conference : in 4 t.. 2019. pp. 312-317. // https://elibrary.ru/item.asp?id=41383544 (in Russian).
12. D.A. Gaifullina, E,R. Khovanskaya. Research of machine learning methods in the task of classifying web pages to identify unwanted information on the Internet // In the collection: Almanac of scientific works of young scientists of ITMO University. XLVIII Scientific and educational-methodical conference of ITMO University. 2019. pp. 8-13. // https://elibrary.ru/item.asp?id=42160888 (in Russian).

2018

1. Gaifullina Diana. Analytical review of methods for detecting anomalies of the network level of cyber-physical systems // Almanac of scientific works of young scientists of ITMO University-2018. / / XLVII scientific and educational-methodical conference of ITMO University, subject: Computer technologies and management, St. Petersburg, January 30-February 02, 2018 Vol.1. P. 4-7. // https://elibrary.ru/item.asp?id=41287898 (in Russian).
2. Aralbaev Tashbulat, Abramova Taisia, Galimov Rinat. Gayfulina Diana, Khakimova Elvira. Selection of basic function for identification of time series based on associative majority approach // Bulletin of ISTU them. M. T. Kalashnikov, 2018. Vol. 21. N. 4. P. 194-199. DOI: 10.22213/2413-1172-2018-4-194-199 // https://www.elibrary.ru/item.asp?id=36785050 (in Russian).
3. Diana Gaifulina, Andrey Fedorchenko. Structural analysis of the internet of things network traffic for determination of the information transmission protocols // XVI Anniversary Saint-Petersburg International Conference "Regional informatics-2018 (RI-2018)". St. Petersburg, Russia. October 24-26, 2018. Proceedings. P. 125-127. http://www.spoisu.ru/files/ri/ri2018/ri2018_materials.pdf // https://elibrary.ru/item.asp?id=46486374 (in Russian).
4. D.A. Gaifulina, A.V. Fedorchenko. Method of preliminary processing of network traffic for detecting anomalies in cyber-physical systems // Materials of the conference "Information Technologies in Management" (ITU-2018). Saint-Petersburg, October 2-4, 2018. Saint-Petersburg: JSC "Concern" Central Research Institute "Electropribor", 2018. pp. 428-432. // https://elibrary.ru/item.asp?id=37028991 (in Russian).
5. Diana Gaifulina, Andrey Fedorchenko. Overview of network traffic presentation formats for cyber-physical security analysis // Actual problems of informational communication in science and education (АPINO 2018). VII International technical science and methodical science conference. Compilation of papers. In 4 volumes. Edited by S.V. Bachevskiy. 2018. Volume 2. P. 223-228. https://www.sut.ru/doci/nauka/7apino/APINO%202018-T2.pdf // (in Russian).
6. D.A. Gaifullina. Identification of typical structures of network traffic packets of cyberphysical systems for the study and identification of anomalies // In the collection: Proceedings of the VII Congress of Young Scientists. Saint Petersburg, 2018. pp. 29-33. // https://elibrary.ru/item.asp?id=43995606 (in Russian).

2017

1. Rychkova Anastasia, Gayfulina Diana, Khakimova Elvira. Application of applied programs for educational purposes for the formation of professional competence of future bachelors of information security // University complex as a regional center of education, science and culture: materials of all-Russian scientific-methodical conference. Orenburg, 1-3 February 2017. P. 3207-3211. https://elibrary.ru/download/elibrary_28977479_22433450.pdf // https://elibrary.ru/item.asp?id=28977479 (in Russian).

2016

1. E.V. Burkova, D.A. Gayfullina, E.R. Khakimova. An applied program for assessing the physical security of an object based on a logical-probabilistic approach // In the collection: Information resources and systems in economics, science and education. Collection of articles of the VI International Scientific and Practical Conference. Edited by V.B. Moiseev. 2016. pp. 10-14. // https://elibrary.ru/item.asp?id=26621382 (in Russian).
2. O.V. Ostraya, E.R. Khakimova, D.A. Gayfullina. Evariste Galois - mathematician and revolutionary // In the collection: University complex as a regional center of education, science and culture. Materials of the All-Russian Scientific and Methodological Conference. 2016. pp. 1357-1363. // https://elibrary.ru/item.asp?id=25766150 (in Russian).

2015

1. D.A. Gayfullina, E.R. Khakimova. Ada Lovelace and her programm for finding bernoulli numbers on the babbage's analytical engine // In the collection: Some actual problems of modern mathematics and mathematical education. Herzen Readings - 2015. materials of the 68th scientific conference. Edited by: V.F. Zaitsev, V.D. Budaev, A.V. Flegontov. 2015. pp. 192-197. // https://elibrary.ru/item.asp?id=23444364 (in Russian).
2. O.V. Acute, D.A. Gayfulina, E.R. Khakimova. Ada Lovelace and her program for finding Bernoulli numbers on a Babbage computer // In the collection: The University complex as a regional center of education, science and culture. Materials of the All-Russian Scientific and Methodological Conference (with international participation). 2015. pp. 1252-1260. // https://elibrary.ru/item.asp?id=23153755 (in Russian).

Top