Saranya M R | Pondicherry university (original) (raw)
Uploads
Papers by Saranya M R
Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015 IEEE International Conference on, Feb 19, 2015
An efficient image encryption algorithm with improved image security has been developed by using ... more An efficient image encryption algorithm with improved image security has been developed by using chaotic function, deoxyribonucleic acid (DNA) sequencing and genetic algorithm (GA). A chaotic sequence of desired length is generated by using the logistic map function whose initial value is calculated using the secret key. A number of DNA masks are generated and these masks along with the chaotic sequences are used to encrypt the digital image. Finally genetic algorithm is employed to get the best mask for encryption. The proposed method can resist various types of attacks and produce high entropy and very low correlation between pixels.
An image encryption algorithm based on chaotic theory and Deoxyribonucleic acid (DNA) sequencing ... more An image encryption algorithm based on chaotic theory and Deoxyribonucleic acid (DNA) sequencing is proposed here. Initially, two chaotic sequences are generated from the logistic map function, one for image permutation and other for image diffusion. The two internal secret keys derived from the 120 bit user defined secret key serve as the initial condition for the chaotic sequences. Both the image and the mask for diffusion are encoded into DNA sequences using the possible eight DNA complementary rules. After that, image permutation and diffusion operations are performed in the DNA domain. DNA XOR operation is used to carry out diffusion which significantly reduces the correlation between adjacent pixels of the plain image. Simulation results and performance analysis show that the proposed work has high security, large key space, and high key sensitivity and it is also able to resist all types of attacks.
Contemporary Computing and Informatics (IC3I), 2014 International Conference on, Nov 27, 2014
A Composite algorithm for improved image security is proposed by taking the advantages of DNA bas... more A Composite algorithm for improved image security is proposed by taking the advantages of DNA based image encryption and evolutionary algorithms (EA). A number of deoxyribonucleic acid (DNA) masks are created using logistic map function and DNA conversion rules. Then encryption is performed on the plain image to generate a number of cipher images. Finally, genetic algorithm (GA) is applied to find the best DNA mask. From the simulation results it is observed that the proposed scheme improves the level of security.
Thesis Chapters by Saranya M R
A reversible data hiding (RDH) algorithm with improved security, which can recover the cover imag... more A reversible data hiding (RDH) algorithm with improved security, which can recover the cover image in separable manner is proposed and analysed through this project. In the content owner side image is encrypted by user defined security key derived-chaotic based transposition algorithm. Then the data hider conceals secret data into the encrypted image by perturbing its histogram, by deploying a user defined data hiding key. At the receiver side, the recuperation depends on shared key. Lower bound of Peak Signal to Noise Ratio (PSNR) of this method is set to 48.13dB. This technique has improved security & higher data hiding capacity while maintaining supreme cover image quality than the existing methods.
A Composite algorithm for improved image security is proposed by taking the advantages of DNA bas... more A Composite algorithm for improved image security is proposed by taking the advantages of DNA based image encryption and evolutionary based image encryption. In DNA based image encryption the first step is using DNA theory to encode the plain image pixels to DNA sequence and using those DNA rules to generate the key image. In the second phase the encoded image pixels generated a key image based on DNA operation rules and thus form the cipher image. Another method which is currently used involves image encryption based on evolutionary algorithms. This is implemented in two steps. First the specified number of cipher images is extracted from the plain image by using chaotic function. In the next step, an evolutionary algorithm is employed to generate a number of cipher images and finally the best cipher image is given as the output of the encryption algorithm.
But it is found that the existing DNA based image encryption algorithm has very low sensitivity to variation in plain text and keys. Hence to have a powerful image encryption algorithm the idea of combining these two existing algorithm is proposed. By combining and thus taking the advantages of DNA based image encryption and evolutionary algorithm better result is expected. The system proposed here aims to use the power of DNA sequences in image encryption and, at the same time use GA ability to improve and find the best solution among all the solutions. High sensitivity to plain text and keys, high entropy, improved protection against various attacks like brute force attack, plain text attack etc. can be achieved.
Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015 IEEE International Conference on, Feb 19, 2015
An efficient image encryption algorithm with improved image security has been developed by using ... more An efficient image encryption algorithm with improved image security has been developed by using chaotic function, deoxyribonucleic acid (DNA) sequencing and genetic algorithm (GA). A chaotic sequence of desired length is generated by using the logistic map function whose initial value is calculated using the secret key. A number of DNA masks are generated and these masks along with the chaotic sequences are used to encrypt the digital image. Finally genetic algorithm is employed to get the best mask for encryption. The proposed method can resist various types of attacks and produce high entropy and very low correlation between pixels.
An image encryption algorithm based on chaotic theory and Deoxyribonucleic acid (DNA) sequencing ... more An image encryption algorithm based on chaotic theory and Deoxyribonucleic acid (DNA) sequencing is proposed here. Initially, two chaotic sequences are generated from the logistic map function, one for image permutation and other for image diffusion. The two internal secret keys derived from the 120 bit user defined secret key serve as the initial condition for the chaotic sequences. Both the image and the mask for diffusion are encoded into DNA sequences using the possible eight DNA complementary rules. After that, image permutation and diffusion operations are performed in the DNA domain. DNA XOR operation is used to carry out diffusion which significantly reduces the correlation between adjacent pixels of the plain image. Simulation results and performance analysis show that the proposed work has high security, large key space, and high key sensitivity and it is also able to resist all types of attacks.
Contemporary Computing and Informatics (IC3I), 2014 International Conference on, Nov 27, 2014
A Composite algorithm for improved image security is proposed by taking the advantages of DNA bas... more A Composite algorithm for improved image security is proposed by taking the advantages of DNA based image encryption and evolutionary algorithms (EA). A number of deoxyribonucleic acid (DNA) masks are created using logistic map function and DNA conversion rules. Then encryption is performed on the plain image to generate a number of cipher images. Finally, genetic algorithm (GA) is applied to find the best DNA mask. From the simulation results it is observed that the proposed scheme improves the level of security.
A reversible data hiding (RDH) algorithm with improved security, which can recover the cover imag... more A reversible data hiding (RDH) algorithm with improved security, which can recover the cover image in separable manner is proposed and analysed through this project. In the content owner side image is encrypted by user defined security key derived-chaotic based transposition algorithm. Then the data hider conceals secret data into the encrypted image by perturbing its histogram, by deploying a user defined data hiding key. At the receiver side, the recuperation depends on shared key. Lower bound of Peak Signal to Noise Ratio (PSNR) of this method is set to 48.13dB. This technique has improved security & higher data hiding capacity while maintaining supreme cover image quality than the existing methods.
A Composite algorithm for improved image security is proposed by taking the advantages of DNA bas... more A Composite algorithm for improved image security is proposed by taking the advantages of DNA based image encryption and evolutionary based image encryption. In DNA based image encryption the first step is using DNA theory to encode the plain image pixels to DNA sequence and using those DNA rules to generate the key image. In the second phase the encoded image pixels generated a key image based on DNA operation rules and thus form the cipher image. Another method which is currently used involves image encryption based on evolutionary algorithms. This is implemented in two steps. First the specified number of cipher images is extracted from the plain image by using chaotic function. In the next step, an evolutionary algorithm is employed to generate a number of cipher images and finally the best cipher image is given as the output of the encryption algorithm.
But it is found that the existing DNA based image encryption algorithm has very low sensitivity to variation in plain text and keys. Hence to have a powerful image encryption algorithm the idea of combining these two existing algorithm is proposed. By combining and thus taking the advantages of DNA based image encryption and evolutionary algorithm better result is expected. The system proposed here aims to use the power of DNA sequences in image encryption and, at the same time use GA ability to improve and find the best solution among all the solutions. High sensitivity to plain text and keys, high entropy, improved protection against various attacks like brute force attack, plain text attack etc. can be achieved.