Highly Secured Quantum Genetic Based Encryption Method with Low Complexity
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 5
Abstract
The security of digital images attracts attention recently, especially when these digital images are stored in some forms of memory or send through the communication systems like wireless sensor networks. Many different image encryption methods have been proposed to keep the secured images. Due to high complexity in hardware based implementation, and higher computational complexity many secured algorithms like AES, RC5 etc are not suitable for WSN nodes. To address these limitations, lightweight block cipher based on chaotic map and genetic operations have been proposed. An image encryption technique tries to convert an image to another image that is hard to understand with diffusion and confusion metrics. The proposed cryptographic scheme employs chaotic map parameters to generate the pseudorandom bit sequence. These sequences are used in XOR, mutation and crossover operations in order to encrypt the data blocks. In this proposed method, to reduce complexity, the quantum Genetic Algorithm (GA) is used to produce a new encryption method by using the powerful features of the Crossover and Mutation operations of (GA) and adoptive fused macro block selection process for better security. The efficiency of proposed encryption method is proved to be best for wireless sensor node based data transmissions.
Authors and Affiliations
G. Ramadevi
Keywords
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