Abstract
Cloud Computing, a form of on-demand service offering resources such as platform, infrastructure, software, database etc., Cryptography, the art of altering the user defined plain data into inarticulate form, and that exists as a prime solution to protect the data on network transmission. This research work specifically focused on, an interesting, Encryption-as-a-service application delivery model, with a symmetric key algorithm based on the conventional encryption mode is developed. Key generation for the encryption is a most important phase of every cryptographic process. Multiple keys are involved for encryption of data to strengthen the encryption quality via the ICBC Process. It is tested with various inputs and the quality of the algorithm is investigated. The Motivation behind this application development is to minimize the execution time for the encryption within limited storage capacity. The proposed application model in this research work, avoids unauthorized attacks such as brute-force, chosen plaintext, CCA and CPA and the results are analyzed using the cryptanalysis process. The Performance of the proposed algorithm is analyzed with statistical measures such as frequency analysis. Comparative analysis is done to reveal the enhancement of the algorithm. The homogeneity of the data from the experimental results shows the efficiency of the data of how well it is encrypted. Evaluation reports state that the developed application service relic’s potential for authenticating text files with better satisfaction while out-sourced as an application in cloud computing environment.
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Acknowledgement
The author express deep sense of gratitude to the Alagappa University, Karaikudi, India for the financial assistance through the RUSA Phase 2.0, to carry out this research work.
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Kuppusamy, K., Mahalakshmi, J. (2020). Multiple Key Encryption (MKE) Technique: An Encryption-as-a-Service Delivery Model in Cloud Computing. In: Xhafa, F., Patnaik, S., Tavana, M. (eds) Advances in Intelligent Systems and Interactive Applications. IISA 2019. Advances in Intelligent Systems and Computing, vol 1084. Springer, Cham. https://doi.org/10.1007/978-3-030-34387-3_66
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