IMPROVED HOMOMORPHIC ENCRYPTION FOR SECURITY IN CLOUD USING PARTICLE SWARM OPTIMIZATION

Authors

  • Mohammad Faiz , Nausheen Fatima , Ramandeep Sandhu , Mandeep Kaur , Vipul Narayan

DOI:

https://doi.org/10.47750/pnr.2022.13.S10.577

Abstract

Cloud computing is vulnerable to several security risks because of its decentralised nature. Homomorphic encryption is an encryption technique used to encrypt data that are used to access from the cloud server. In the proposed work particle swarm optimization technique is used to improve the encryption key. Particle swarm optimization algorithms (PSO) gets their inspiration from the social behaviour of birds and are well known population-dependent meta-heuristic algorithms. Depending on the assessed quality, hybrid homomorphic encryption methods starts with a randomly distributed collection of particles to enhance the outcomes. The results of the simulation shows the improvement in encryption process by the proposed hybrid encryption technique compared to existing homomorphic encryption.

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Published

2022-12-31 — Updated on 2022-12-31

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Articles

How to Cite

IMPROVED HOMOMORPHIC ENCRYPTION FOR SECURITY IN CLOUD USING PARTICLE SWARM OPTIMIZATION. (2022). Journal of Pharmaceutical Negative Results, 4761-4771. https://doi.org/10.47750/pnr.2022.13.S10.577