caa a22 4500 605447764 CHVBK 20210128100133.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s11042-014-1877-6 doi (NATIONALLICENCE)springer-10.1007/s11042-014-1877-6 A novel secure block data-hiding algorithm using cellular automata to enhance the performance of JPEG steganography [Elektronische Daten] [Tuan Nguyen, Somjit Arch-int, Ngamnij Arch-int] The computational complexity of matrix embedding (ME)-based steganography is high due to the use of the Hamming parity check matrix and matrix multiplication. Furthermore, with only one embedding change solution, ME cannot minimize embedding distortions when applied to joint photographic experts group (JPEG) steganography. In this paper, we propose a novel block data-hiding (BDH) algorithm to improve the performance of JPEG steganography. BDH allows a byte of data to be hidden in a binary block by modifying a maximum of two bits of the binary block must be changed. Moreover, BDH can be applied to the new channel selection rule for JPEG steganography with more available embedding solutions and less computational complexity than modified matrix embedding (MME). In addition, to increase the security of hidden data against extraction attacks, the secret message is encrypted by a cipher based on cellular automata (CA). The bitwise XOR operator is employed in the encryption process to maintain speed and security when a non-repeating key stream is used. The experimental results indicate that the proposed approach has a high anti-detection property against ensemble classifiers (universal steganalyzers), high security against recovery attacks, and good perceptual quality. Springer Science+Business Media New York, 2014 Block data-hiding nationallicence Cellular automata nationallicence Ensemble classifier nationallicence Steganography nationallicence Nguyen Tuan Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand aut Arch-int Somjit Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand aut Arch-int Ngamnij Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 5661-5682 1380-7501 74:15<5661 2015 74 11042 https://doi.org/10.1007/s11042-014-1877-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-1877-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Nguyen Tuan Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand aut NATIONALLICENCE 700 1- Arch-int Somjit Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand aut NATIONALLICENCE 700 1- Arch-int Ngamnij Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 5661-5682 1380-7501 74:15<5661 2015 74 11042