Assessment of the Digital Footprint of a Participant in Internet Interactions Using Mathematical Statistics Methods

The purpose of the study. In the modern world, everyone is an active user of resources hosted on the global network. Logging in from different devices (computers, tablets, phones), we visit many electronic pages, correspond and view content, leaving our electronic footprint in the system each time. The purpose of the study is to identify such a trace, record it and process it using mathematical statistics methods in order to obtain personalized and generalized data for various industries. Also, based on the results obtained, recommendations are expected to be formed to protect digital footprint data from possible malicious use.

The paper examines the concept and describes in detail the sources of a digital trace of a participant in Internet interactions, identifies methods and tools for collecting and pre-processing information. The concept of active and passive components of a digital fingerprint is disclosed. Attention is focused on the need to classify the information contained in the digital trace as personal data, since it can sometimes determine a person more accurately than a document, which, in turn, requires legislative protection in terms of collection, storage, processing and further use. The article provides examples of using digital fingerprint information in various industries: criminalistics, marketing research, targeted advertising, etc.

Materials and methods. The article discusses in sufficient detail various methods of mathematical statistics for assessing the digital footprint of a network user, and provides steps that allow for the collection, preprocessing and analysis of information contained in a digital fingerprint using the Python, R programming languages and various software tools. The use of statistical analysis methods, the use of an interaction matrix, visualization capabilities, machine learning algorithms, recommendation systems, network metrics, time series, and sensitivity analysis methods are considered.

Results. Despite the fact that data obtained using mathematical statistics methods can be useful for businesses, government organizations, research institutes, and even law enforcement agencies, data collected in the course of activities on a global network and linked to a specific individual can pose a clear threat if used by intruders. These assessment methods are available both for constructive tendencies to improve our lives by selecting personalized relevant

content and improving the service, and for destructive activities through manipulative actions and blackmail. In this regard, knowledge of the trace left and the possibilities of using this data in its original and processed form makes it possible to improve the quality of life, on the one hand, and protect personal information, on the other.

Conclusion. Attention is drawn to the need for information control of one’s digital trace, in connection with which the article provides a number of recommendations for the implementation of safe Internet interaction.

1. Gaydash O.V. The phenomenon of the digital trace in modern society [Internet]. Vestnik magistratury = Bulletin of the Magistracy. 2020: 6(105). Available from: https://cyberleninka.ru/article/n/fenomen-tsifrovogo-sleda-v-sovremennomobschestve. (In Russ.)

2. Fomicheva T.L. Digital trace and digital hygiene. Samoupravleniye = Self-government. 2023; 6(139): 361-363. (In Russ.)

3. Buynov D.O. Development of scientific approaches to the concept of «digital traces» as an object of expert research. Zakony Rossii: opyt, analiz, praktika = Laws of Russia: experience, analysis, practice. 2023; 3: 17-22. (In Russ.)

4. Semikalenova A.I. Digital traces: purpose and production of examinations [Internet]. Vestnik Universiteta imeni O.Ye. Kutafina = Bulletin of the O.E. Kutafin University. 2019: 5(57). Available from: https://cyberleninka.ru/article/n/tsifrovye-sledynaznachenie-i-proizvodstvo-ekspertiz. (In Russ.)

5. Shestakova A.A. Digital personality: boundaries and barriers of communication practices in network interaction. VIII Mezhdunarodnaya sotsiologicheskoy Grushinskoy konferentsii «Sotsiolog 2.0: transformatsiya professii» = VIII International Sociological Grushin Conference «Sociologist 2.0: transformation of the profession». Moscow: All-Russian Center for the Study of Public Opinion; 2018: 422-425. (In Russ.)

6. Meshcheryakov V.A. «Virtual traces» under «Occam’s scalpel» [Internet]. Informatsionnaya bezopasnost’ regionov = Information security of regions. 2009: 1. Available from: https://cyberleninka.ru/article/n/virtualnye-sledy-podskalpelem-okkama. (In Russ.)

7. Bagmet A.M., Bychkov V.V., Skobelin S.YU., Il’in N.N. Tsifrovyye sledy prestupleniy = Digital traces of crimes. Moscow: Prospekt; 2025. 168 p. (In Russ.)

8. Boyarkina L.A., Boyarkin V.V. Digital trace and digital shadow as derivatives of personal data. Sborniki konferentsiy NITS Sotsiosfera = Conference proceedings of the Sociosphere Research Center. 2016; 62: 78-81. (In Russ.)

9. Kizima S.V., Kidalov F.V., Pal’tsin D.A. Telecommunication environment and problems of digital trace data of subjects of digital society. Elektrosvyaz’ = Electrosvyaz. 2021; 12: 33-37. (In Russ.)

10. Karlash D.S. Legal regulation of digital traces and digital shadows in big data processing. Vestnik arbitrazhnoy praktiki = Bulletin of arbitration practice. 2023; 6(109): 14-21. (In Russ.)

11. Rostovtsev A.V. Osobennosti sudebnoekspertnogo issledovaniya «Tsifrovykh sledov» = Features of forensic examination of «Digital traces» [Internet]. Akademicheskaya mysl’ = Academic thought. 2019; 3(8). Available from: https://cyberleninka.ru/article/n/osobennosti-sudebnoekspertnogo-issledovaniya-tsifrovyh-sledov. (In Russ.)

12. Deryugin R.A., Fayskhanov I.F. On forensic examination of electronic information carriers and digital traces [Internet]. Vestnik Ural’skogo yuridicheskogo instituta MVD Rossii = Bulletin of the Ural Law Institute of the Ministry of Internal Affairs of Russia. 2019: 4. Available from: https://cyberleninka.ru/article/n/o-kriminalisticheskomissledovanii-elektronnyh-nositeley-informatsii-itsifrovyh-sledov. (In Russ.)

13. Akhtyrskaya N.N. Procedural issues of recognizing a digital trace as proper evidence. Mezhdunarodnaya nauchno-prakticheskaya konferentsiya «Tsifrovoy sled kak ob»yekt sudebnoy ekspertizy» = International scientific and practical conference «Digital trace as an object of forensic examination» (Moscow, January 17, 2020). Moscow: RG-Press; 2020. 272 p. (In Russ.)

14. Karnaukhova O.G. Digital trace as a personality profile of the interrogated. Mezhdunarodnaya nauchno-prakticheskaya konferentsiya «Tsifrovoy sled kak ob»yekt sudebnoy ekspertizy» = International scientific and practical conference «Digital trace as an object of forensic examination» (Moscow, January 17, 2020). Moscow: RG-Press; 2020. 272 p. (In Russ.)

15. Kazarinova N.L., Kudrevatykh V.A., Mishakina M.G. Assessment of the actual result of the formation of a digital profile of a student of a pedagogical university based on a digital footprint. Pedagogicheskiy zhurnal = Pedagogical journal. 2022; 12; 6-2: 1140-1154. (In Russ.)

16. Loginova A.A., Denisov A.R. Application of digital footprint analysis technology to create a system that forms an individual digital profile of a student. VIII Mezhdunarodnaya nauchnoprakticheskaya konferentsiya «BIG DATA i analiz vysokogo urovnya» = VIII International Scientific and Practical Conference «BIG DATA and High-Level Analysis» (Minsk, May 11-12, 2022). Minsk: Bestprint UP; 2022: 411-420.

17. Nesterov S.A., Smolina Ye.M. The concept of a digital footprint and the analysis of a digital footprint in education. XXVI Mezhdunarodnaya nauchno-prakticheskaya konferentsiya «Sistemnyy analiz v proyektirovanii i upravlenii» = XXVI International scientific and practical conference «System analysis in design and management» (St. Petersburg, October 13-14, 2022). Saint Petersburg: Peter the Great St. Petersburg Polytechnic University; 2023: 309-314. (In Russ.)

18. Osanova A.S. Advantages and disadvantages of digital footprints: results of the analysis of a student’s digital footprints. Mezhdunarodnaya nauchnoprakticheskaya konferentsiya, posvyashchennaya Dnyu kosmonavtiki «Aktual’nyye problemy aviatsii i kosmonavtiki» = International scientific and practical conference dedicated to Cosmonautics Day «Actual problems of aviation and cosmonautics» (Krasnoyarsk, April 11-15, 2022). Krasnoyarsk: Siberian State University of Science and Technology named after Academician M.F. Reshetnev; 2022: 287-289. (In Russ.)

19. Cheremisina Ye.N., Kirpicheva Ye.Yu., Tokareva N.A. et al Digital traces: impact on IT education and digital transformation. Fizika elementarnykh chastits i atomnogo yadra = Physics of elementary particles and atomic nuclei. 2024; 55; 3: 519. (In Russ.)

20. Goncharova Ye.V. Digital trace as a qualitative characteristic of the volume of data in the digital economy. Mezhdunarodnaya nauchnoprakticheskaya konferentsiya «Tsifrovoy sled kak ob»yekt sudebnoy ekspertizy» = International scientific and practical conference «Digital trace as an object of forensic examination» (Moscow, January 17, 2020). Moscow: RG-Press; 2023: 55-56. (In Russ.)

21. Nikishin V.D. Digital and speech traces in the aspect of ensuring information (ideological) security in the Internet environment. Sudebnaya ekspertiza = Forensic examination. 2020; 1(61): 131-139. (In Russ.)

22. Baranova Ye.V., Shvetsov G.V. Methods and tools for analyzing a student’s digital footprint when mastering an educational route [Internet]. PNiO. 2021: 2(50). Available from: https://cyberleninka.ru/article/n/metody-i-instrumentydlya-analiza-tsifrovogo-sleda-studenta-pri-osvoeniiobrazovatelnogo-marshruta. (In Russ.)

23. Pokolodina Ye.V. Obrabotka tsifrovogo sleda v sootvetstvii s model’yu deyatel’nosti cheloveka (gruppy lyudey) i informatsionnokommunikatsionnykh sistem = Processing a digital footprint in accordance with the model of human activity (group of people) and information and communication systems [Internet]. Available from: https://academia-moscow.ru/catalogue/5532/681904/. (In Russ.)

24. Pokolodina Ye.V. Volodin S.M., Naboyshchikov F.P Development of recommendations for protecting the digital footprint of Internet users. IV Mezhdunarodnaya nauchnaya konferentsiya, posvyashchonnoy pamyati doktora tekhnicheskikh nauk, professora A.A. Tarasova i doktora tekhnicheskikh nauk, starshego nauchnogo sotrudnika O.V. Kazarina «Vzaimodeystviye vuzov, nauchnykh organizatsiy i uchrezhdeniy kul’tury v sfere zashchity informatsii i tekhnologiy bezopasnosti» = IV International Scientific Conference dedicated to the memory of Doctor of Technical Sciences, Professor A.A. Tarasov and Doctor of Technical Sciences, Senior Researcher O.V. Kazarin «Interaction of Universities, Scientific Organizations and Cultural Institutions in the Field of Information Protection and Security Technologies» (Moscow, April 19-21, 2023). Moscow: Russian State University for the Humanities; 2023: 218-224. (In Russ.)