Review on DNA Cryptography

Cryptography is the science that secures data and communication over the network by applying mathematics and logic to design strong encryption methods. In the modern era of e-business and e-commerce the protection of confidentiality, integrity and availability (CIA triad) of stored information as well as of transmitted data is very crucial. DNA molecules, having the capacity to store, process and transmit information, inspires the idea of DNA cryptography. This combination of the chemical characteristics of biological DNA sequences and classical cryptography ensures the non-vulnerable transmission of data. In this paper we have reviewed the present state of art of DNA cryptography.Comment: 31 pages, 12 figures, 6 table

Blindspot: Indistinguishable Anonymous Communications

Communication anonymity is a key requirement for individuals under targeted surveillance. Practical anonymous communications also require indistinguishability - an adversary should be unable to distinguish between anonymised and non-anonymised traffic for a given user. We propose Blindspot, a design for high-latency anonymous communications that offers indistinguishability and unobservability under a (qualified) global active adversary. Blindspot creates anonymous routes between sender-receiver pairs by subliminally encoding messages within the pre-existing communication behaviour of users within a social network. Specifically, the organic image sharing behaviour of users. Thus channel bandwidth depends on the intensity of image sharing behaviour of users along a route. A major challenge we successfully overcome is that routing must be accomplished in the face of significant restrictions - channel bandwidth is stochastic. We show that conventional social network routing strategies do not work. To solve this problem, we propose a novel routing algorithm. We evaluate Blindspot using a real-world dataset. We find that it delivers reasonable results for applications requiring low-volume unobservable communication.Comment: 13 Page

Improved Performance of Image Steganography Technique using Quantum Scrambling and Pixel‘s Intensity Adjustment

Steganography is the art for hidden communication. It provides the solution for secrete data communication. Trustworthy steganography techniques should provide the data protection when it is being transferred and fulfill the principles of security. This dissertation proposed a efficient steganography technique based on Quantum Hilbert image Scrambling (QHIS), alpha blending operation, and genetic algorithm based pixel’s least significant bit swapping. Every steganography technique has two processes; encoding and decoding. In the encoding process of proposed steganography technique, initially secrete image is scrambled using QHIS then apply alpha blending (i.e type of mixing) operation on both the scrambled image and cover image, which results stego image. The stego image picture quality can be improved by allying GA based pixel’s adjustment. The strength of proposed steganography technique is shown in experimental results by testing it on different image quality parameters (i.e. Peak Signal to Noise Ratio, Normalized Cross Correlation, Average Difference, Maximum difference, Structural contents)