Research by the method of an extended systematical literature review E-SLR the problem of ensuring the security of personal data when using OSINT
Objective. The amount of personal data in open sources increases, which makes it possible for third parties to access it using open source intelligence (OSINT) methods, which can be used for malicious purposes. The aim of the work is to identify threats and existing methods and means of ensuring the...
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| Format: | Article |
| Language: | Russian |
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Dagestan State Technical University
2024-10-01
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| Series: | Вестник Дагестанского государственного технического университета: Технические науки |
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| Online Access: | https://vestnik.dgtu.ru/jour/article/view/1564 |
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| _version_ | 1850023110988791808 |
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| author | N. N. Romanova V. V. Gryzunov |
| author_facet | N. N. Romanova V. V. Gryzunov |
| author_sort | N. N. Romanova |
| collection | DOAJ |
| description | Objective. The amount of personal data in open sources increases, which makes it possible for third parties to access it using open source intelligence (OSINT) methods, which can be used for malicious purposes. The aim of the work is to identify threats and existing methods and means of ensuring the security of a user's personal data and his reputation when using OSINT by intruders, as well as to identify the main problems in protecting user PD taking into account OSINT. Method. The study uses an extended method of systematic literature review (e-SLR), which is a systematic literature review (SLR) supplemented by responses from ChatGPT, GigaCHAT, YndexGPT neural networks. Result. 41 sources were received for the analysis of the problem, on the basis of which threats to personal data were identified: violation of the confidentiality of personal data and the operation of information systems, targeted attacks using social engineering, password disclosure, espionage; protection tools: data processing before publication, anonymization and depersonalization, limitation of personal data, selection of sites, protection using OSINT, creation of complex passwords, use of protection tools, organizational measures; problems in the development of protection tools: working with big data, unreliability of information and sources, labor-intensiveness of data analysis, technical limitations, bias, ethical and legal aspects. Conclusion. The results were used to develop models for protecting personal data in open sources, methods and means for detecting and preventing violations of their security. |
| format | Article |
| id | doaj-art-270be1a5b5af413cb4f69d22c48604a3 |
| institution | DOAJ |
| issn | 2073-6185 2542-095X |
| language | Russian |
| publishDate | 2024-10-01 |
| publisher | Dagestan State Technical University |
| record_format | Article |
| series | Вестник Дагестанского государственного технического университета: Технические науки |
| spelling | doaj-art-270be1a5b5af413cb4f69d22c48604a32025-08-20T03:01:28ZrusDagestan State Technical UniversityВестник Дагестанского государственного технического университета: Технические науки2073-61852542-095X2024-10-0151313014410.21822/2073-6185-2024-51-3-130-144912Research by the method of an extended systematical literature review E-SLR the problem of ensuring the security of personal data when using OSINTN. N. Romanova0V. V. Gryzunov1Emperor Alexander I St. Petersburg State Transport UniversitySaint Petersburg University of State Fire Service of Emercom of RussiaObjective. The amount of personal data in open sources increases, which makes it possible for third parties to access it using open source intelligence (OSINT) methods, which can be used for malicious purposes. The aim of the work is to identify threats and existing methods and means of ensuring the security of a user's personal data and his reputation when using OSINT by intruders, as well as to identify the main problems in protecting user PD taking into account OSINT. Method. The study uses an extended method of systematic literature review (e-SLR), which is a systematic literature review (SLR) supplemented by responses from ChatGPT, GigaCHAT, YndexGPT neural networks. Result. 41 sources were received for the analysis of the problem, on the basis of which threats to personal data were identified: violation of the confidentiality of personal data and the operation of information systems, targeted attacks using social engineering, password disclosure, espionage; protection tools: data processing before publication, anonymization and depersonalization, limitation of personal data, selection of sites, protection using OSINT, creation of complex passwords, use of protection tools, organizational measures; problems in the development of protection tools: working with big data, unreliability of information and sources, labor-intensiveness of data analysis, technical limitations, bias, ethical and legal aspects. Conclusion. The results were used to develop models for protecting personal data in open sources, methods and means for detecting and preventing violations of their security.https://vestnik.dgtu.ru/jour/article/view/1564osintsystematic literature reviewinformation securitypersonal dataartificial intelligenceinformation security methods |
| spellingShingle | N. N. Romanova V. V. Gryzunov Research by the method of an extended systematical literature review E-SLR the problem of ensuring the security of personal data when using OSINT Вестник Дагестанского государственного технического университета: Технические науки osint systematic literature review information security personal data artificial intelligence information security methods |
| title | Research by the method of an extended systematical literature review E-SLR the problem of ensuring the security of personal data when using OSINT |
| title_full | Research by the method of an extended systematical literature review E-SLR the problem of ensuring the security of personal data when using OSINT |
| title_fullStr | Research by the method of an extended systematical literature review E-SLR the problem of ensuring the security of personal data when using OSINT |
| title_full_unstemmed | Research by the method of an extended systematical literature review E-SLR the problem of ensuring the security of personal data when using OSINT |
| title_short | Research by the method of an extended systematical literature review E-SLR the problem of ensuring the security of personal data when using OSINT |
| title_sort | research by the method of an extended systematical literature review e slr the problem of ensuring the security of personal data when using osint |
| topic | osint systematic literature review information security personal data artificial intelligence information security methods |
| url | https://vestnik.dgtu.ru/jour/article/view/1564 |
| work_keys_str_mv | AT nnromanova researchbythemethodofanextendedsystematicalliteraturerevieweslrtheproblemofensuringthesecurityofpersonaldatawhenusingosint AT vvgryzunov researchbythemethodofanextendedsystematicalliteraturerevieweslrtheproblemofensuringthesecurityofpersonaldatawhenusingosint |