Title | A Novel Privacy Preserving HMAC Algorithm Based on Homomorphic Encryption and Auditing for Cloud |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | Kumar, A. |
Conference Name | 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) |
Keywords | AES, AES algorithm, auditing, basic security threats, cloud computing, cloud data, compositionality, confidentiality, cryptography, data authentication, data integrity, data privacy, data protection, Data uprightness, decryption, Encryption, encryption audits, hash message authentication code, HMAC, message authentication, Predictive Metrics, privacy preserving HMAC algorithm, Programming, pubcrawl, Public Examine, python, Resiliency, RSA, RSA algorithm, stable audit program, third party auditor, TPA, user data, user privacy in the cloud |
Abstract | Cloud is the perfect way to hold our data every day. Yet the confidentiality of our data is a big concern in the handling of cloud data. Data integrity, authentication and confidentiality are basic security threats in the cloud. Cryptography techniques and Third Party Auditor (TPA) are very useful to impose the integrity and confidentiality of data. In this paper, a system is proposed Enhancing data protection that is housed in cloud computing. The suggested solution uses the RSA algorithm and the AES algorithm to encrypt user data. The hybridization of these two algorithms allows better data protection before it is stored in the cloud. Secure hash algorithm 512 is used to compute the Hash Message Authentication Code (HMAC). A stable audit program is also introduced for Third Party Auditor (TPA) use. The suggested algorithm is applied in python programming and tested in a simple sample format. It is checked that the proposed algorithm functions well to guarantee greater data protection. |
DOI | 10.1109/I-SMAC49090.2020.9243340 |
Citation Key | kumar_novel_2020 |