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  • Research on the Possibility of Detecting File Fragments That Use a High Efficiency Image File Format for Individual Images and Image Sequences

Research on the Possibility of Detecting File Fragments That Use a High Efficiency Image File Format for Individual Images and Image Sequences

Student: Bavykina Marina

Supervisor: Alexander Sorokin

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Cyber Security (Specialist)

Final Grade: 10

Year of Graduation: 2021

This paper researches the possibility of creating a method for identifying clusters of HEIF files using binary signatures built based on the entropy compression of the format. In this work, a set of signatures has been obtained that make it possible to determine clusters of files containing images or their sequences in a specified format on a digital data carrier, a technique for their application (search and decision-making based on its results), as well as experimental estimates of the reliability of the technique, obtained using its software implementation. To research on the possibility of detecting file fragments that use a high efficiency image file format for individual images and image sequences, the documentation of the HEIF format, as well as the HEVC format and CABAC entropy coding, was collected and studied. The result of the work is a set of binary signatures and a criterion for deciding on whether a data cluster belongs to the investigated HEIF format based on the results of a search for signatures on a data carrier. The final qualifying work consists of 62 pages excluding attachments, includes 6 tables and 13 images. The bibliography includes 36 sources. Keywords – HEIF; CABAC; file identification; Huffman code table; signature search.

Full text (added January 14, 2021)

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