International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Computer Science & Engineering | India | Volume 13 Issue 2, February 2024


Enhancement in Homomorphic Encryption Scheme of Cloud Computing to Isolate DOS Attack

Jaspreet Kaur [15] | Dr. Gurjit Singh Bhathal [2]


Abstract: Cloud computing (CC) is a kind of a distributed design which can be accessed through dissimilar forms of security intrusions. An encoding method recognized as homomorphic encoding is adopted to encode the entities which assist in acquiring the data from the cloud server. The key organization and key allocation are the major issues that often occurred in the homomorphic encoding method. These problems lead to alleviating the efficiency of HEA (homomorphic encryption algorithm). The input must be generated in the encoding process. Thus, this study makes the utilization of PSO (Particle swarm optimization) to achieve this. The PSO algorithms have an influence on nature based meta - heuristic algorithms. These algorithms are inhabitant reliant. These algorithms employ the societal activities of birds and fishes as a motivation to construct a technical technique. On the basis of the supremacy of computations, the algorithmic approaches generated from arbitrarily allocated patterns of particles are exploited to modify the outcomes. As the particles move around the searching area, a pattern of arithmetical terminology is deployed to carry out the spontaneity. The permanent number key is produced to perform the encoding, using optimized PSO (Particle swarm optimization). The homomorphic algorithm based on PSO is implemented on MATLAB. The results reveal that the introduced method proves is efficient for resource usage and finishing time. This approach is more adaptable with regard to completion time and resource usage as compared to homomorphic algorithms.


Keywords: Particle swarm optimization, Homomorphic, Key management, Nature Inspired, Resource utilization


Edition: Volume 13 Issue 2, February 2024,


Pages: 1755 - 1759


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