Year: 2025
Type: article
Abstract: The article presents an analytical study of contemporary, including innovative, approaches to data recovery after formatting and deletion.The relevance is determined by changing volumes of digital information and the increasing complexity of storage architectures, which requires more efficient and universal methods for data regeneration.The scientific novelty lies in proposing a hybrid model that combines the use of file system metadata with signature-based content analysis, as well as adapting algorithms to complex configurations such as RAID arrays and SSDs with an active TRIM function.The study highlights key challengesfile fragmentation and the specifics of solid-state drives.Special attention is given to methods for automatic determination of RAID array parameters and algorithms for deep scanning (deep scan).The aim of the study is to systematize advanced practices and propose an integrated approach to recovery in cases of partial or complete loss of metadata.The methodological basis includes comparative analysis, systematization, and generalization; up-to-date scientific publications and the author's practical experience were also used.The conclusion demonstrates the effectiveness of the proposed hybrid model.The material is intended for IT specialists, digital forensics experts, and software developers.
Author: Stanislav Yermolov
Language: English
Topic: Digital and Cyber Forensics
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4414862483
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