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020 _a9783030420444
024 7 _a10.1007/978-3-030-42044-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA268
_b2020 EB
100 1 _aSarmah, Dipti Kapoor
_9673768
_eautor
245 1 0 _aOptimization Models in Steganography Using Metaheuristics
_cby Dipti Kapoor Sarmah, Anand J. Kulkarni, Ajith Abraham.
250 _aFirst edition 2020.
264 1 _aCham
_bSpringer International Publishing
_c2020
300 _a1 recurso en línea (XIII, 166 páginas)
_b89 ilustraciones, 25 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aArchivo de texto
_bPDF
490 0 _aIntelligent Systems Reference Library
_x1868-4394
_v187
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
520 3 _aThis book explores the use of a socio-inspired optimization algorithm (the Cohort Intelligence algorithm), along with Cognitive Computing and a Multi-Random Start Local Search optimization algorithm. One of the most important types of media used for steganography is the JPEG image. Considering four important aspects of steganography techniques - picture quality, high data-hiding capacity, secret text security and computational time - the book provides extensive information on four novel image-based steganography approaches that employ JPEG compression. Academics, scientists and engineers engaged in research, development and application of steganography techniques, optimization and data analytics will find the book's comprehensive coverage an invaluable resource.
988 _aSpringer_Robotics_31032020
650 7 _2embne
_aCriptografía (Informática)
_9158201
700 1 _aKulkarni, Anand J.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9673847
700 1 _aAbraham, Ajith
_d1968-
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_945309
776 0 8 _iPrinted edition:
_z9783030420437
776 0 8 _iPrinted edition:
_z9783030420451
776 0 8 _iPrinted edition:
_z9783030420468
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-42044-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b05/2020
_dz
_eh
_zSI