Image Encryption: A New Approach Using Genetic Algorithm (original) (raw)

A Suggested Scheme for Image Cryptography Employing Genetic Algorithm

2017

The extensive use of digital information storage and transfer over communication channels nowadays have raised tremendous hazards. Basically, it has exposed the information confidentiality, integrity, authenticity, copyright, and ownership protection to the danger of being breached. Of the most important concerns is the security of digital images, hence they either be protected by the embedding of watermarks if they are to be publicly visible or by converting them into an unintelligible cipher form. This conversion can be achieved by many existing encryption algorithms with proper secret keys, however, due to the increased computation efficiency, new and stronger algorithms are continually sought. In this paper, a novel image encryption scheme that is based Genetic Algorithms is developed and implemented to convert the image into cipherimage. This approach is made possible by exploiting the Genetic Algorithm (GA) properties, namely crossover and mutation that fulfill Shannon’s princ...

COMPARISON OF GENETIC ALGORITHM OF IMAGE ENCRYPTION WITH NEW CIPHER ALGORITHM

Network security is an important issue, and encryption is one of the way to ensure security in the digital world. Image security becomes important because of their frequency of use over internet. There exist many different image encryption techniques each has their own advantage and disadvantage. In this proposed method we first encrypt the image using Genetic algorithm and then by using our new cipher algorithm. We have also calculated the PSNR and MSE of reconstructed image of both methods and it is found that our new cipher has higher PSNR and less MSE compared to Genetic algorithm. Thus the image quality of this new cipher is good.

Key Generation Using Genetic Algorithm for Image Encryption

2013

Cryptography is essential for protecting information as the importance of security is increa sing day by day with the advent of online transaction pr ocessing and e commerce. Now a day the security of digital images are major area of concern, especially when w e deal with digital images where it may be stored or send through the communication channel. Genetic al gorithms are a class of optimization algorithms. Genetic algorithms can be used to solve different p roblems through modeling a simplified version of ge netic processes. This paper proposed a method based on Ge netic Algorithm which is used to generate key by th e help of random number generator to make the key com plex. Key generation will go through a number of process and main criteria for key selection will be the fitness value of the population. AES which is a symmetric key encryption algorithm is used to encry pt the image. Key Terms: Cryptography; Random Number Generator; Genetic Algorithm; AES

A Hybridized Model for Image Encryption through Genetic Algorithm and DNA Sequence

Procedia Computer Science, Elsevier, 2018

With the advent of multimedia technology and rapid data transmission ability of networks, images have become a vital source of extracting information. So its security becomes a critical issue. Images are encrypted to another form in order to preserve their data. In this paper, we have put forward a hybridized model for encrypting images through a combination of Genetic Algorithm and DNA Sequence. DNA sequence is basically chosen as it offers greater storage and higher computing capabilities. The encryption method consists of two phases- Transposition or Scrambling phase and Substitution phase. In the first phase, pixel locations are altered using GA to reduce the correlation among adjacent pixels. In substitution phase, the pixels are replaced by using XOR operation between the pixel values converted into binary strings and DNA substrings derived from a random DNA string. DNA substrings are used as keys for image encryption. The experimental outcome validates that the algorithm is simple, fast enough and feasible. Performance analysis asserts the robustness of the algorithm against all kinds of attacks and thereby maintaining higher security.

IJERT-An Image Encryption using Multilevel Randomized Genetic Algorithm Techniques

International Journal of Engineering Research and Technology (IJERT), 2014

https://www.ijert.org/an-image-encryption-using-multilevel-randomized-genetic-algorithm-techniques https://www.ijert.org/research/an-image-encryption-using-multilevel-randomized-genetic-algorithm-techniques-IJERTV3IS080563.pdf Security plays an imperative role in every field of today's digital communication era. Many encryption techniques evolved through years for securing data (text, images etc). In this paper, we bring in a new image encryption mechanism that inherits process of Genetic algorithms. It applies two basic operations of Genetic algorithms (crossovers and mutations) continually for some rounds on pixel vectors of an image. The basic advantage of this approach is, it induces randomness in selecting rounds, crossover and mutation operations. Our results show that, it results in achieving high security.

Using Genetic Algorithm for Symmetric key Generation in Image Encryption

Cryptography is essential for protecting information as the importance of security is increasing day by day with the advent of online transaction processing and e commerce. In now a day the security of digital images attracts much attention, especially when these digital images are stored in memory or send through the communication networks. Genetic algorithms are a class of optimization algorithms. Many problems can be solved using genetic algorithms through modelling a simplified version of genetic processes. In this paper, I proposed a method based on Genetic Algorithm which is used to generate key by the help of pseudo random number generator. Random number will be generated on the basis of current time of the system. Using Genetic Algorithm we can keep the strength of the key to be good, still make the whole algorithm good enough. Symmetric key algorithm AES has been proposed for encrypting the image as it is very secure method for symmetric key encryption.