Privacy Persevered Data Access in Cloud Computing Using Multi-Factor Authentication and Encryption Scheme

Abstract

In the cloud authentication process authenticate user finds through cloud approaches to regulate whether user is reliable to entrance cloud presentations, properties and data services through confirming access privileges. The absence of appropriate and strong cloud authentication methodologies led to occurrence of certain cloud security attacks and threads. Mutual cloud risks are information revelation and moderating, account capture, Denial-of-Service (DoS) and advancement of rights. Classical authentication models, specifically contain username and passwords pattern, which pattern grow into helpless to cyber-criminals since rises in computing networks and power bandwidths. Furthermore, conventional encryption methodology is introduced to overcome computational overhead and difficulty. However, there is an essential for effective and privacy-preserving information access workflow that combines multi-factor authentication and encryption. Here, proposed model introduces a novel multi-factor authentication for improving security analysis in cloud surroundings. In MFA model contain several authentication process to verify user information, while authentication is successful, then user might access requested information services from cloud. Otherwise, authentication process is fails, user access denied. After getting access from cloud, data holder using Elliptic Curve Enclosed Partial Homomorphic Encryption (ECPHE) model to encrypt information with secret key. Here, data holder contain secret keys used for decrypting data retrieved from cloud environment. In experimental analysis proposed model obtains low encryption time of 25.1(Ms) for 5 (KB), 26.8(Ms) for 10(KB), 27.9(Ms) for 15(KB), 29.4(Ms) for 20(KB) and 30.6(Ms) for 25(KB), and additionally proposed model obtain some metrics that are combined with existing models to proven their effectiveness and robustness analysis.