LEADER 04138nam 22005655 450 001 9910484042503321 005 20251107172615.0 010 $a981-15-4397-6 024 7 $a10.1007/978-981-15-4397-5 035 $a(CKB)5280000000218676 035 $a(MiAaPQ)EBC6286294 035 $a(DE-He213)978-981-15-4397-5 035 $a(PPN)248595571 035 $a(EXLCZ)995280000000218676 100 $a20200601d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aReversible Steganography and Authentication via Transform Encoding /$fby Jyotsna Kumar Mandal 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (xvi, 325 pages) $cillustrations 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v901 311 08$a981-15-4396-8 327 $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. 330 $aThis book focuses on reversible steganography and authentication via transform encoding, fully discussing in detail the reversibility computation of six transformation techniques: DFT, DCT, wavelets, Z, binomial and grouplet, as well as chaos-based authentication. The book also describes algorithmic approaches based on all transformations along with implementation details and results. Further topics include embedding and extraction into the spatial domain, tuning using GA-based approaches and embedding into imaginary coefficients of the Z domain. Featuring detailed algorithms for encryption and descriptions of all techniques, including embedding techniques for all transform-based steganographic processes, the book also explores the adjustment of pixel values after embedding and presents numerical examples of reversible computations. In the context of chaos-based authentication, it also describes testing the quality of generator is using Monobit, Serial andPoker tests. The book then outlines 15 test cases recommended by NIST fifteen test cases, along with their implementation on six evolutionary algorithms for neural cryptographic systems in the context of wireless computations ? TPM, KSOMSCT, DHLPSCT, CHDLPSCT, CTHLPSCT and CGTHLPSCT ? and verifies their satisfiability based on the implementations of these six techniques. Lastly it presents various metrics of image processing systems. This book is a valuable reference resource for research scholars, PG/UG students and practicing engineers. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v901 606 $aComputational intelligence 606 $aData protection 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aData and Information Security 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aData protection. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aData and Information Security. 615 24$aArtificial Intelligence. 676 $a003.54 700 $aMandal$b Jyotsna Kumar$4aut$4http://id.loc.gov/vocabulary/relators/aut$0986826 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484042503321 996 $aReversible Steganography and Authentication via Transform Encoding$92853653 997 $aUNINA