{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T00:31:45Z","timestamp":1772929905715,"version":"3.50.1"},"reference-count":93,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T00:00:00Z","timestamp":1772409600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>This article presents an adaptive neural network method for the automated detection, reconstruction, and prioritisation of multi-stage criminal operations in the digital environment, aiming to protect human rights and ensure the legal security of digital evidence. The developed method combines multimodal temporal encoders, a graph module based on GNN for entity correlation, and a correlation head with a link-prediction mechanism and differentiable path recovery. Sliding time windows, logarithmic transformation of volumetric features, and pseudonymization of identifiers with the ability to utilise privacy-preserving procedures (federated learning, differential privacy) are used for data aggregation and normalisation. Unique features of the developed method include an integrated risk function combining an anomaly component and graph significance, a module for automated forensic packet generation with chain of custody recording, and a mechanism for incremental model updates. Experimental results demonstrate high diagnostic metric values (AUC \u2248 0.97, F1 \u2248 0.99 on the test dataset after balancing), robust recovery of priority paths (\u201cpath_probability\u201d &gt; 0.7 for top operations), and pipeline performance in PII leak prioritisation and human trafficking reconstruction scenarios. The study\u2019s contribution lies in a practice-oriented neural network method that integrates detection, correlation, and the collection of legally applicable evidence.<\/jats:p>","DOI":"10.3390\/data11030049","type":"journal-article","created":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T12:48:56Z","timestamp":1772542136000},"page":"49","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Adaptive Neural Network Method for Detecting Crimes in the Digital Environment to Ensure Human Rights and Support Forensic Investigations"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8009-5254","authenticated-orcid":false,"given":"Serhii","family":"Vladov","sequence":"first","affiliation":[{"name":"Department of Scientific Activity Organisation, Kharkiv National University of Internal Affairs, 27, L. Landau Avenue, 61080 Kharkiv, Ukraine"},{"name":"Department of Combating Cybercrime, Kharkiv National University of Internal Affairs, 27, L. Landau Avenue, 61080 Kharkiv, Ukraine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6117-5846","authenticated-orcid":false,"given":"Oksana","family":"Mulesa","sequence":"additional","affiliation":[{"name":"Department of Physics, Mathematics and Technologies, University of Pre\u0161ov, 3, N\u00e1mestie legion\u00e1rov, 080 01 Pre\u0161ov, Slovakia"},{"name":"Department of Software Systems, Uzhhorod National University, 3, Narodna Square, 88000 Uzhhorod, Ukraine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3972-0115","authenticated-orcid":false,"given":"Petro","family":"Horvat","sequence":"additional","affiliation":[{"name":"Department of Computer Systems and Networks, Uzhhorod National University, 3, Narodna Square, 88000 Uzhhorod, Ukraine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3121-0823","authenticated-orcid":false,"given":"Yevhen","family":"Kobko","sequence":"additional","affiliation":[{"name":"Department of Administrative and Legal Disciplines, Educational and Scientific Institute of Law and Psychology, National Academy of Internal Affairs, 1, Solomjanska Square, 03035 Kyiv, Ukraine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6417-3689","authenticated-orcid":false,"given":"Victoria","family":"Vysotska","sequence":"additional","affiliation":[{"name":"Department of Combating Cybercrime, Kharkiv National University of Internal Affairs, 27, L. Landau Avenue, 61080 Kharkiv, Ukraine"},{"name":"Information Systems and Networks Department, Lviv Polytechnic National University, 12, Bandera Street, 79013 Lviv, Ukraine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vasyl","family":"Kikinchuk","sequence":"additional","affiliation":[{"name":"Educational and Research Institute No. 2 (Training of Specialists for the Criminal Police Units of the National Police of Ukraine), Kharkiv National University of Internal Affairs, 27, L. Landau Avenue, 61080 Kharkiv, Ukraine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4965-0149","authenticated-orcid":false,"given":"Serhii","family":"Khursenko","sequence":"additional","affiliation":[{"name":"Department of Constitutional and Municipal Law, V.N. Karazin Kharkiv National University, 4 Svobody Square, 61022 Kharkiv, Ukraine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kostiantyn","family":"Karaman","sequence":"additional","affiliation":[{"name":"Izmail District Court of Odessa Region, 2 Klushyna Street, 68600 Izmail, Ukraine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oksana","family":"Kochan","sequence":"additional","affiliation":[{"name":"Municipal Institution \u201cMukachevo Professional Agricultural Lyceum Named after Mykhailo Dankanych\u201d Transcarpathian Regional Council, 34 Alexei Berest, 89600 Mukachevo, Ukraine"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,3,2]]},"reference":[{"key":"ref_1","unstructured":"Internet Crime Complaint Center (2025, October 02). 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