Framework for Data Security Using DNA Cryptography and HMAC Technique in Cloud Computing
Title | Framework for Data Security Using DNA Cryptography and HMAC Technique in Cloud Computing |
Publication Type | Conference Paper |
Year of Publication | 2021 |
Authors | Kumar, Anuj |
Conference Name | 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC) |
Date Published | Aug. 2021 |
Publisher | IEEE |
ISBN Number | 978-1-6654-2867-5 |
Keywords | cloud computing, codes, Communication systems, composability, Computer architecture, cryptography, Data security, data transfer, DNA, DNA cryptography, HMAC, Human Behavior, Metrics, privacy, pubcrawl, resilience, Resiliency, Secure File Sharing, Third Party Auditor (TPA) |
Abstract | The main objective of the proposed work is to build a reliable and secure architecture for cloud servers where users may safely store and transfer their data. This platform ensures secure communication between the client and the server during data transfer. Furthermore, it provides a safe method for sharing and transferring files from one person to another. As a result, for ensuring safe data on cloud servers, this research work presents a secure architecture combining three DNA cryptography, HMAC, and a third party Auditor. In order to provide security by utilizing various strategies, a number of traditional and novel cryptographic methods are investigated. In the first step, data will be encrypted with the help of DNA cryptography, where the encoded document will be stored in the cloud server. In next step, create a HMAC value of encrypted file, which was stored on cloud by using secret key and sends to TPA. In addition, Third Party Auditor is used for authenticate the purity of stored documents in cloud at the time of verification TPA also create HMAC value from Cloud stored data and verify it. DNA-based cryptographic technique, hash based message authentic code and third party auditor will provide more secured framework for data security and integrity in cloud server. |
URL | https://ieeexplore.ieee.org/document/9532950 |
DOI | 10.1109/ICESC51422.2021.9532950 |
Citation Key | kumar_framework_2021 |