Development of an automated system for analyzing mobile artifacts taking into account modern challenges and prospects
Keywords:
digital traces, mobile forensics, artificial intelligence, machine learning, mobile artifacts, automation of analysisAbstract
In the modern digital world, mobile devices play a key role as information carriers and sources of digital artifacts of particular interest in forensic investigations. The development of automated systems based on artificial intelligence (AI) for analyzing such artifacts is becoming an urgent task, given the growing complexity of mobile OS, expanding device functionality and encryption of user data. The article discusses the technical and methodological difficulties that arise when creating such systems, including data standardization issues, lack of training samples and the need for interpretability of models. The methodologies used in the study are presented, including log analysis, extraction of artifacts from memory images, and the use of machine learning algorithms. Promising areas are also discussed - the use of hybrid models, automation of data preprocessing, and ensuring the reproducibility of results. The results of the study demonstrate the effectiveness of the proposed approach and indicate the need for further improvements.
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