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Sawant, Adwait Suyog (2022) Enhancing Encryption in Cloud Computing and Reducing Energy Usage by Using PSO-ALO Algorithm to Improve Homomorphic Encryption Technique. Masters thesis, Dublin, National College of Ireland.
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Abstract
In recent times, cloud computing has emerged as an innovation with the most potential. While using it, security concerns still exist in relation to vital data. However, the most widely used solution for bridging this gap is the utilization of data encryption techniques. The homomorphic encryption technique is an encoding technique that helps in the encoding of data that needs to be stored on the cloud. However, the homomorphic encryption technique has a few drawbacks such as the generation of a key at a faster rate and its optimal utilization. This issue decreases the effectiveness of the technique making it less favorable for encryption. Thus it is vital to achieve a better optimal key that can be utilized for the encryption of data in such a way that it maintains the integrity of data and avoids its exploitation. In this research paper, we proposed a novel encryption technique called Modified Particle Swarm Optimization Algorithm which would assist in the generation of the best key in a way that minimizes the execution time for encryption as well as decreases resource utilization. The research is focused on enhancing the existing encryption technique for faster encryption by combining the Ant-Lion Optimization algorithm with the existing PSO algorithm, further the concept of RandomWalkOfAnts is used to find an optimal key for encryption. The implementation of the proposed research is performed using Matlab. Furthermore, the outcomes of the simulation state that the proposed encryption technique is better in terms of execution time and resource utilization as compared to the existing homomorphic encryption technique.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Chis, Adriana UNSPECIFIED |
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > QA Mathematics > Algebra > Algorithms > Computer algorithms Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security |
| Divisions: | School of Computing > Master of Science in Cloud Computing |
| Depositing User: | Tamara Malone |
| Date Deposited: | 19 Apr 2023 14:44 |
| Last Modified: | 19 Apr 2023 14:44 |
| URI: | https://norma.ncirl.ie/id/eprint/6490 |
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