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020			_a9789811543975
024	7		_a10.1007/978-981-15-4397-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.A25 _b2020 EB
100			_aMandal, Jyotsna Kumar. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/694149068605665730001 _9100493
245	1	0	_aReversible Steganography and Authentication via Transform Encoding _cby Jyotsna Kumar Mandal.
250			_aFirst edition
264		1	_aSingapore _bSpringer Singapore : _bImprint: Springer _c2020
300			_a1 recurso en línea (XVII, 325 páginas) _b214 ilustraciones, 65 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _v901
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aPreface -- Introduction -- State of the Art in Transform Encoding for Reversible Steganography and Authentication -- Reversible Encoding in Spatial and Spectral Domain -- DFT based Reversible Encoding -- DCT based Reversible Encoding -- Wavelet based Reversible Transform Encoding -- Z-Transformation and Reversible Encoding -- Reversible Encoding in Imaginary components of Transformed Coefficients of Z-Transformation -- Reversible Transform Encoding using Group let Transformation -- Nonlinear Dynamics in Transform Encoding based Authentication -- Metrics of evaluation for Steganography and Authentication -- Analysis and Comparisons of performances on different Transform Encoding Techniques -- Conclusions -- Future Directions.
520	3		_aThis book focuses on reversible steganography and authentication via transform encoding, fully discussing in detail the reversibility computation of six transformation techniques: DFT, DCT, wavelets, Z, binomial and grouplet, as well as chaos-based authentication. The book also describes algorithmic approaches based on all transformations along with implementation details and results. Further topics include embedding and extraction into the spatial domain, tuning using GA-based approaches and embedding into imaginary coefficients of the Z domain. Featuring detailed algorithms for encryption and descriptions of all techniques, including embedding techniques for all transform-based steganographic processes, the book also explores the adjustment of pixel values after embedding and presents numerical examples of reversible computations. In the context of chaos-based authentication, it also describes testing the quality of generator is using Monobit, Serial and Poker tests. The book then outlines 15 test cases recommended by NIST fifteen test cases, along with their implementation on six evolutionary algorithms for neural cryptographic systems in the context of wireless computations - TPM, KSOMSCT, DHLPSCT, CHDLPSCT, CTHLPSCT and CGTHLPSCT - and verifies their satisfiability based on the implementations of these six techniques. Lastly it presents various metrics of image processing systems. This book is a valuable reference resource for research scholars, PG/UG students and practicing engineers.
988			_aSpringer_Robotics_23062020
650		7	_2embne _aCriptografía _9413101
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/148105729
776	0	8	_iPrinted edition: _z9789811543968
776	0	8	_iPrinted edition: _z9789811543982
776	0	8	_iPrinted edition: _z9789811543999
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-4397-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2020 _dz _eIG _zSI