A Genetic Improved Quantum Cryptography Model to Optimize Network Communication
Shivani Gaba1, Shifali Singla2, Deepak Kumar3
1Shivani Gaba, Department of Computer Science and Engineering, Panipat Institute of Engineering and Technology, Panipat (Haryana), India.
2Shifali Singla, Department of Computer Science and Engineering, Panipat Institute of Engineering and Technology, Panipat (Haryana), India.
3Deepak Kumar, Department of Computer Science and Engineering, Panipat Institute of Engineering and Technology, Panipat (Haryana), India.
Manuscript received on 20 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 26 August 2019 | PP: 256-259 | Volume-8 Issue-9S August 2019 | Retrieval Number: I10400789S19/19©BEIESP | DOI: 10.35940/ijitee.I1040.0789S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The communication becomes more critical when the network is having high speed mobility and restricted coverage. WPAN is one such network defined for indoor network and with smaller sensing limit. In this work, a quantum inspired encoded communication is provided to improve the communication reliability and security. The work model is defined for a randomly distributed and high mobility based WPAN network. At first phase of this model, the node level characterization is applied under coverage, stability and load parameters. Later on genetic model is applied to identify the most effective communication pair. Finally, the quantum key based SHA is applied to perform the data encoded. This encoded communication is performed over the network. The comparative results shows that the work model has reduced the communication loss over the network.
Keywords: WPAN, Genetics, Quantum, Encoded, Cryptography.
Scope of the Article: Cryptography and Applied Mathematics