Please use this identifier to cite or link to this item: http://repositsc.nuczu.edu.ua/handle/123456789/21339
Title: A Method of Scrambling for the System of Cryptocompression of Codograms Service Components
Authors: Barannik, Vladimir
Sidchenko, Serhii
Barannik, Dmitriy
Babenko, Mykhailo
Manakov, Volodymyr
Kulitsa, Oleh
Kryshtal, Vasyl
Kolesnyk, Vitalii
Kuzmin, Oleh
Keywords: Compression; Cryptocompression encryption; Encryption; Image; Information protection; Permutation; Privacy; Scrambling
Issue Date: 2023
Publisher: Springer Science and Business Media Deutschland GmbH
Citation: IEEE lnternational Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET 2023
Series/Report no.: Volume 965 LNEE;
Abstract: A method of scrambling for a service components system in crypto-compression codograms formed under the condition of discarding the pixel brightness values in RGB space least significant been developed. The difference between this method and the known ones is that, what before performing scrambling transformations, the service data merging presented in a reduced dynamic range into 8-bit combined elements is organized. At the permutation stage of the combined 8-bit data, not only the original 7-bit elements of the service components` values location changing organized, but also their values change too. This allows to increase known permutation transformations cryptographic characteristics. The developed method provides: availability of video data increasing by further reducing the image crypto-compression representation; cryptographic stability increasing by the elements of service data system values changing, breaking the correlation between the elements and changing the frequency of pixels. Scrambling transformations based on permutation tables applied to the service components in cryptocompression codograms system, ensure the stability of the image visual information to errors in codograms that occur in the communication channel. This is despite the fact that cryptocompression codograms are original images concise representation. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
URI: http://repositsc.nuczu.edu.ua/handle/123456789/21339
ISSN: 18761100
Appears in Collections:ЧІПБ ім. Героїв Чорнобиля



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