Ranganath, Vinay (2021) Cloud Data Security through Hybrid Verification Technique Based on Cryptographic Hash Function. Masters thesis, Dublin, National College of Ireland.
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Abstract
Encrypted communications have a long history of use. Today, however, we can protect information confidentiality and privacy, which is critical to contemporary encryption research. Encrypted data is also used in research initiatives including human behaviour, financial transactions, and economic, political, and social events. In several areas of communication research, data security has taken centre stage. Everyone wants their data or information to be protected from theft or corruption. In this paper, we
explore how to encrypt data in the cloud using a Hybrid Verification Technique based on Cryptographic Hash Function. We use Hybrid Verification Technique based on Biometrics and Encryption to increase cloud data security and 100 biometric picture samples were used in the experiment. Users are authenticated via biometric authentication, and subsequently their file storage data is secured using the AES algorithm. For strengthening the anonymity of cloud service provisioning, the TCHFAED approach is described. Tiger is a cryptographic hash function that is used in TCHFAED to provide a higher level of secrecy in cloud service provisioning. When storing data in the cloud, AES is more efficient than RSA encryption, according to the study.
Item Type: | Thesis (Masters) |
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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 > 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: | 01 Dec 2022 17:13 |
Last Modified: | 06 Dec 2022 17:58 |
URI: | https://norma.ncirl.ie/id/eprint/5953 |
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