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JPEG steganography with particle swarm optimization accelerated by AVX
Author(s) -
Snasel Vaclav,
Kromer Pavel,
Safarik Jakub,
Platos Jan
Publication year - 2019
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.5448
Subject(s) - steganography , computer science , jpeg , cover (algebra) , particle swarm optimization , steganalysis , information hiding , steganography tools , artificial intelligence , image (mathematics) , algorithm , engineering , mechanical engineering
Summary Digital steganography aims at hiding secret messages in digital data transmitted over insecure channels. The JPEG format is prevalent in digital communication, and images are often used as cover objects in digital steganography. Optimization methods can improve the properties of images with embedded secret but introduce additional computational complexity to their processing. AVX instructions available in modern CPUs are, in this work, used to accelerate data parallel operations that are part of image steganography with advanced optimizations.