↓ Skip to main content

Digital Forensics and Watermarking

Overview of attention for book
Cover of 'Digital Forensics and Watermarking'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 HEVC Double Compression Detection Based on SN-PUPM Feature
  3. Altmetric Badge
    Chapter 2 Towards Automated Forensic Pen Ink Verification by Spectral Analysis
  4. Altmetric Badge
    Chapter 3 Recaptured Image Forensics Based on Quality Aware and Histogram Feature
  5. Altmetric Badge
    Chapter 4 Website Fingerprinting Attack on Psiphon and Its Forensic Analysis
  6. Altmetric Badge
    Chapter 5 Deep Learning Based Counter–Forensic Image Classification for Camera Model Identification
  7. Altmetric Badge
    Chapter 6 Block-Based Convolutional Neural Network for Image Forgery Detection
  8. Altmetric Badge
    Chapter 7 A Hybrid Feature Model for Seam Carving Detection
  9. Altmetric Badge
    Chapter 8 Face Morphing Detection: An Approach Based on Image Degradation Analysis
  10. Altmetric Badge
    Chapter 9 Detection of Face Morphing Attacks by Deep Learning
  11. Altmetric Badge
    Chapter 10 CNNs Under Attack: On the Vulnerability of Deep Neural Networks Based Face Recognition to Image Morphing
  12. Altmetric Badge
    Chapter 11 Topological Data Analysis for Image Tampering Detection
  13. Altmetric Badge
    Chapter 12 Coding Efficiency Preserving Steganography Based on HEVC Steganographic Channel Model
  14. Altmetric Badge
    Chapter 13 A Prediction Mode-Based Information Hiding Approach for H.264/AVC Videos Minimizing the Impacts on Rate-Distortion Optimization
  15. Altmetric Badge
    Chapter 14 Adaptive Audio Steganography Based on Advanced Audio Coding and Syndrome-Trellis Coding
  16. Altmetric Badge
    Chapter 15 Information Hiding Using CAVLC: Misconceptions and a Detection Strategy
  17. Altmetric Badge
    Chapter 16 Adaptive MP3 Steganography Using Equal Length Entropy Codes Substitution
  18. Altmetric Badge
    Chapter 17 A Steganalysis Scheme for AAC Audio Based on MDCT Difference Between Intra and Inter Frame
  19. Altmetric Badge
    Chapter 18 A Prediction Model Based Approach to Open Space Steganography Detection in HTML Webpages
  20. Altmetric Badge
    Chapter 19 Towards Covert Channels in Cloud Environments: A Study of Implementations in Virtual Networks
  21. Altmetric Badge
    Chapter 20 Steganalysis Based on Awareness of Selection-Channel and Deep Learning
  22. Altmetric Badge
    Chapter 21 Improved Algorithms for Robust Histogram Shape-Based Image Watermarking
  23. Altmetric Badge
    Chapter 22 Image Quality Assessment in Reversible Data Hiding with Contrast Enhancement
  24. Altmetric Badge
    Chapter 23 Improved Reversible Visible Watermarking Based on Adaptive Block Partition
  25. Altmetric Badge
    Chapter 24 Robust Zero Watermarking for 3D Triangular Mesh Models Based on Spherical Integral Invariants
  26. Altmetric Badge
    Chapter 25 On the Statistical Properties of Syndrome Trellis Coding
  27. Altmetric Badge
    Chapter 26 A Blind Reversible Data Hiding Method for High Dynamic Range Images Taking Advantage of Sparse Histogram
  28. Altmetric Badge
    Chapter 27 A Novel Visual Cryptography Scheme with Different Importance of Shadows
  29. Altmetric Badge
    Chapter 28 A Novel Image Classification Method with CNN-XGBoost Model
  30. Altmetric Badge
    Chapter 29 Improvement and Evaluation of Time-Spread Echo Hiding Technology for Long-Distance Voice Evacuation Systems
  31. Altmetric Badge
    Chapter 30 Temporal Integration Based Visual Cryptography Scheme and Its Application
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

twitter
7 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
57 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Digital Forensics and Watermarking
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-64185-0
ISBNs
978-3-31-964184-3, 978-3-31-964185-0
Editors

Christian Kraetzer, Yun-Qing Shi, Jana Dittmann, Hyoung Joong Kim

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 12%
Student > Bachelor 6 11%
Student > Ph. D. Student 4 7%
Other 2 4%
Lecturer 2 4%
Other 4 7%
Unknown 32 56%
Readers by discipline Count As %
Computer Science 18 32%
Engineering 4 7%
Business, Management and Accounting 1 2%
Unknown 34 60%