Implementing Robust Data Encryption and Security Measures in Cloud Storage Environments with an Enhanced Cryptographic Layer and Grey Wolf Optimization (ECL-GWO)

Nandish, Devaswaroopa Machenahalli (2023) Implementing Robust Data Encryption and Security Measures in Cloud Storage Environments with an Enhanced Cryptographic Layer and Grey Wolf Optimization (ECL-GWO). Masters thesis, Dublin, National College of Ireland.

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Abstract

Computing that is done over the internet, or "cloud computing,” is a relatively recent innovation. In cloud computing keeping data private, secure, anonymous, and reliable are just some of the cloud’s most pressing issues. The most crucial aspect is the security and how the cloud service provider guarantees it. The proposed framework aims to address these challenges by providing a comprehensive data protection solution that incorporates both encryption and optimization techniques. The framework uses the ECL algorithm to optimize the selection of cryptographic keys and the Grey Wolf Optimization (GWO) technique to optimize the placement of data in the cloud. By doing so, the framework is designed to enhance data confidentiality, integrity, and availability in cloud environments while minimizing the risk of security breaches and other types of attacks. Based on the varying opinions of cloud users, this study proposes a Grey Wolf Optimization (GWO) model for addressing privacy issues in the cloud by employing encryption algorithms to enhance the security. The ECL-GWO technique aims to improve the performance and efficiency of data encryption and decryption in cloud environments by optimizing the key generation processes like PBKDF2 and Argon2 key generators. Data integrity ensures by evaluate the performance of ECL and ECL-GWO algorithm with the different workflows. This study examines the potential benefits and drawbacks of using an encryption algorithm in cloud storage to safeguard sensitive data. Proposed approach improve the mitigate of man in the middle attack, so it improves security and authentication. Data security achieved with the proposed ECL GWO algorithm uses encryption to secure data before it is stored on the server and it guarantees that the data can only be accessed by authorized individuals that possess the decryption keys. The GWO algorithm can be used to optimize the security parameters of the encryption algorithm used by the ECL-GWO algorithm. The proposed algorithm was able to enhance the security strength, encryption and decryption time was observed making the encryption and decryption more stable and more over key size is improved resulting in optimized better security.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Makki, Ahmed 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:	Ciara O'Brien
Date Deposited:	11 Apr 2025 13:37
Last Modified:	11 Apr 2025 13:37
URI:	https://norma.ncirl.ie/id/eprint/7425

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