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Data security and network security is a crucial domain of research and development. On the other hand the computing changes their face and at the same ways the attackers and intruders are also aware about the traditional security techniques. Thus new kind of security is required to find that are not accurately from the traditional backgrounds. But the traditional cryptographic models are computationally cost effective, produce additional storage overheads, and also generate the less secure cipher for storage. Therefore in order to resolve the issues in cryptographic security a new methodology…mehr

Produktbeschreibung
Data security and network security is a crucial domain of research and development. On the other hand the computing changes their face and at the same ways the attackers and intruders are also aware about the traditional security techniques. Thus new kind of security is required to find that are not accurately from the traditional backgrounds. But the traditional cryptographic models are computationally cost effective, produce additional storage overheads, and also generate the less secure cipher for storage. Therefore in order to resolve the issues in cryptographic security a new methodology is required to develop. We have successfully implemented this hybrid approach in .NET environment. Our experimental results demonstrate the effectiveness and efficiency of our technique and ensure security by means of authentication, confidentiality and integrity. Additionally to make obvious performance of anticipated technique the comparative performance study with the traditional RSA algorithm is performed. Results illustrate the effectiveness of this anticipated technique with respect to traditional RSA algorithm.
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Autorenporträt
O Sr. Saurabh Bhat concluiu o seu mestrado em Tecnologia da Informação pela IET, Devi Ahilya University, Indore, Índia. O Dr. Vivek Kapoor trabalha como Professor Assistente no Departamento de Tecnologias de Informação na IET, Devi Ahilya University, Indore, Índia. Os seus interesses de investigação incluem Segurança da Informação, Data Mining, Algoritmos Genéticos nas finanças, etc.