Aplikasi Validasi Citra Dokumen Menggunakan Chaos Dan Steganografi

Perkembangan teknologi yang pesat memberikan pengaruh pada pengiriman dokumen dari yang semula secara fisik menjadi dalam format citra digital. Namun citra digital tersebut dapat dengan mudah dimodifikasi atau dimanipulasi, serta belum tersedianya aplikasi yang dapat memastikan keaslian citra tersebut. Chaos memiliki sifat yang berharga untuk keamanan data, yaitu kepekaan terhadap Perubahan kecil pada kondisi awal sistem. Steganografi digunakan untuk menyembunyikan keberadaan tanda keaslian citra dokumen. Dengan menggabungkan kedua metode di atas dibuatlah sebuah aplikasi yang dapat memberikan tanda dan membaca tanda tersebut untuk mengetahui keaslian citra dokumen. Beberapa percobaan yang dilakukan pada aplikasi validasi citra menggunakan Chaos dan steganografi berhasil mengenali citra asli dan citra yang sudah dimanipulasi

Hybrid Approach to Steganography System Based on Quantum Encryption and Chaos Algorithms

This paper proposes a hybrid system for secretly embedding images into the dithered multilevelimage. Confident hybridizations between steganography and quantum encryptions are either rare inliterature or suffer a poor effectiveness in secure communication. This paper scrambles and divides thesecret image into groups to be embedded in the blocks of the cover image using three chaos algorithms.These are Lorenz map, Henon map, and Logistic map algorithms. The encryption of embedded imagesconducted using the quantum one-time pad. Results showed that the proposed hybrid system succeeded inembedding and combining images with quantum cryptography algorithms

A framework of secured and bio-inspired image steganography using chaotic encryption with genetic algorithm optimization (CEGAO)

The two key issues related to steganography techniques are, statistical undetectability and picture quality. Image steganography takes the advantage of limited power of Human Visual System (HVS). The proposed framework offers an approach of secure data hiding technique in digital images. Novel scheme presented encrypts meaningful secret data using nonlinear dynamics (chaos theory) before embedding into host or cover image. A basic LSB embedding method is used for encrypting data into cover image. Genetic Algorithm based pixel adjustment process is used to reduce the difference of error between the host image and its stego version with low distortions. The results of proposed scheme are compared with other steganographic algorithm using Peak Signal to Noise Ratio (PSNR) and Structural Similarity (SSIM) index, color frequency test and StirMark analysis

Improved Adaptive LSB Steganography Based on Chaos and Genetic Algorithm

<p/> <p>We propose a novel steganographic method in JPEG images with high performance. Firstly, we propose improved adaptive LSB steganography, which can achieve high capacity while preserving the first-order statistics. Secondly, in order to minimize visual degradation of the stego image, we shuffle bits-order of the message based on chaos whose parameters are selected by the genetic algorithm. Shuffling message's bits-order provides us with a new way to improve the performance of steganography. Experimental results show that our method outperforms classical steganographic methods in image quality, while preserving characteristics of histogram and providing high capacity.</p