Image-Based Information Concealment Using Encryption and Decryption Algorithms
Steganography involves embedding information within images while utilizing encryption and decryption algorithms to ensure data security during the concealment process.
Image Encryption and Decryption
Implementing image encryption and decryption enables secure protection, transmission, and recovery of confidential images using cryptographic algorithms and programming techniques.
MATLAB Implementation of RSA Algorithm with Encryption and Decryption Functions
Complete MATLAB programming implementation of RSA asymmetric encryption algorithm including key generation, encryption, and decryption processes with mathematical foundations and security considerations
MATLAB Code for Image Encryption
Application Background: Image encryption represents a critical research domain where conventional data encryption methods face challenges due to image-specific characteristics like pixel correlation and massive data volumes. While limited algorithms exist, some demonstrate strong performance under specific parameters. Multiple chaos mapping implementation algorithms will be explored through practical MATLAB coding examples. Key Technologies: Encryption, image encryption, data encryption, matrix operations, mathematical transformations, and chaos theory implementations.
Digital Image Encryption Code Implementation
Reference implementation for digital image encryption algorithms, featuring cryptographic techniques and code optimization approaches
Arnold Chaotic Encryption for Grayscale Images
Implementation of Arnold chaotic scrambling encryption for grayscale images with enhanced security through disorder and diffusion operations
Steganography with LSB Substitution and Encryption Integration
Implementation of LSB-based steganography combined with cryptographic algorithms for secure data concealment in digital images
ImageCompressionAndEncryption-master: Hybrid Compression and Encryption Technique Using Circulant Matrix Control
In the multimedia-driven information era, image security has become paramount as image value depends on contained information. This project implements compressive sensing-based encryption with key-controlled circulant matrices, dividing images into blocks for simultaneous compression and encryption through randomized pixel scrambling, addressing traditional key distribution and efficiency challenges.
MATLAB Implementation of RSA Algorithm with Code Description
MATLAB code implementation of RSA asymmetric encryption algorithm with detailed technical explanations