Cloud Computing is an advance technology that provides different services to the users on the rental basis. The main issue associated with the cloud is cyber attacks that are performed on the cloud services due to the improper security mechanisms especially authentication. In this paper, a multi level security using hybrid multifactor authentication methodologies based on the security questions, mobile OTP, and biometric authentication in addition to password based authentication to protect the data/services from the cyber attackers is proposed. The hybrid methodologies provides strong and secure authentication due to the two layer security. The biometric authentication includes face image as an authentication factor and the extraction of the face features are performed using VGG face model with the concept of transfer learning. The proposed work is implemented in the Google Colab cloud with python API and evaluated results show the proposed scheme providing privacy, confidentiality, integrity, and resistivity against the collision resistance attack, replay attack, tampering of the data, etc.