Abstract
Cloud Computing is the decentralized type of architecture which is vulnerable to various type of security attacks. Homomorphic encryption is the encryption scheme to encrypt objects which are used to access data from the cloud server. Homomorphic encryption scheme has major disadvantage of key management and key sharing which reduce its efficiency. Particle swarm optimization algorithms (PSO) are nature-inspired meta-heuristic algorithms that are population dependent known for social behavior of birds and fishes. These concepts are used as an inspiration to build scientific approach for complex problem solving. Depending upon the quality of measure, the solutions are enhanced by the algorithms initiating from a randomly distributed set of particles. By moving the particles around the search space using a set of mathematical expressions, the improvisations are achieved. In this research work, technique of PSO is applied which generate key for the encryption. PSO in is the optimization algorithm used to generate fixed number key for the encryption. PSO based homomorphic algorithm is implemented in MATLAB and simulation results shows that it performs well in terms of execution time, resource utilization. The execution time and resource utilization of PSO based homomorphic algorithm is less as compared to homomorphic algorithm. The result is optimized upto 10% approx in the improved algorithm as compared to existing algorithm.
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Mukherjee, A., Bisen, D., Saurabh, P., Kane, L. (2021). Enhanced Homomorphic Encryption Scheme with Particle Swarm Optimization for Encryption of Cloud Data. In: Abraham, A., Shandilya, S., Garcia-Hernandez, L., Varela, M. (eds) Hybrid Intelligent Systems. HIS 2019. Advances in Intelligent Systems and Computing, vol 1179. Springer, Cham. https://doi.org/10.1007/978-3-030-49336-3_29
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