Digital Forensics and Watermarking
Springer Nature (Verlag)
978-981-97-2584-7 (ISBN)
during November 25–26, 2023.
The 22 full papers included in this book were carefully reviewed and selected from 48 submissions.
This book constitutes the refereed post proceedings of the 22nd International Workshop on Digital Forensics and Watermarking, IWDW 2023, held in Jinan, China,
during November 25–26, 2023.
The 22 full papers included in this book were carefully reviewed and selected from 48 submissions. The workshop focuses on subjects such as novel research, development and application of digital watermarking, data hiding, and forensic techniques for multimedia security.
.- Digital Forensics and Security.
.- Image Encryption Scheme Based on New 1D Chaotic System and Blockchain.
.- High quality PRNU Anonymous Algorithm for JPEG Images.
.- Limiting Factors in Smartphone Based Cross Sensor Microstructure Material Classification.
.- From Deconstruction to Reconstruction A Plug in Module for Diffusion Based Purification of Adversarial Examples.
.- Privacy Preserving Image Scaling using Bicubic Interpolation and Homomorphic Encryption.
.- PDMTT A Plagiarism Detection Model Towards Multi turn Text Back Translation.
.- An Image Perceptual Hashing Algorithm Based on Convolutional Neural Networks.
.- Finger Vein Spoof GANs Can we Supersede the Production of Presentation Attack Artefacts.
.- Generalizable Deep Video Inpainting Detection Based on Constrained Convolutional Neural Networks.
.- 3DPS 3D Printing Signature for Authentication based on Equipment Distortion Model.
.- Multi Scale Enhanced Dual Stream Network for Facial Attribute Editing Localization.
.- Data Hiding.
.- Neural Network Steganography Using Extractor Matching.
.- Inversion Image Pairs for Anti forensics in the Frequency Domain.
.- Cross channel Image Steganography Based on Generative Adversarial Network.
.- A Reversible Data Hiding Algorithm for JPEG Image Based on Paillier Homomorphic Encryption.
.- Convolutional neural network prediction error algorithm based on block classification enhanced.
.- Dual Domain Learning Network for Polyp Segmentation.
.- Two round Private Set Intersection Mechanism and Algorithm Based on Blockchain.
.- Novel quaternion orthogonal Fourier Mell in moments using optimized factorial calculation.
.- DNA Steg analysis Based on Multi dimensional Feature Extraction and Fusion.
.- VStego800K Large scale Steg analysis Dataset for Streaming Voice.
.- Linguistic Steganalysis based on Clustering and Ensemble Learning in Imbalanced Scenario.
| Erscheinungsdatum | 27.04.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | 96 Illustrations, color; 21 Illustrations, black and white; XIII, 320 p. 117 illus., 96 illus. in color. |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Kryptologie |
| Mathematik / Informatik ► Mathematik ► Analysis | |
| Schlagworte | Artificial Intelligence • Computer Networks • cryptography • Data Security • Deepfake Generation and Detection • Deep learning • digital forensics • digital watermarking • Encryption • Forensics • Information Hiding • IOT • Multimedia • multimedia security • pose estimation • reversible data hiding • security • steganalysis • Stegnography • Watermarking |
| ISBN-10 | 981-97-2584-4 / 9819725844 |
| ISBN-13 | 978-981-97-2584-7 / 9789819725847 |
| Zustand | Neuware |
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