The reduction of academic dishonesty in e-assessment has been mentioned as a necessity for improved security, which can be achieved by implementing multifactor authentication.  To counteract academic dishonesty tactics like impersonation, the Multifactor Authentication Framework is utilized for authentication and tracking a user's presence during the assessment time. The three authentication factors coupled together to increase security in e-assessment employed in this method were: one biometric (facial recognition), and two knowledge-based features (user name, password, and security questions generated from user profile). The study's data collection and analysis techniques were hybrid (qualitative and quantitative). A methodical approach was used to create and build the Multifactor Authentication Framework. The framework's effectiveness at preventing identity fraud and ensuring the security of e-assessments was then evaluated in a simulated environment. Multifactor authentication Framework is useful to improve security in e-assessment where single-factor authentication is not able to satisfy security levels. Results show that; the rate of username and password was high in terms of short time taken to log in (79.6%), easy to use (73.4%) and passwords work properly in authentication (72.1%); while the Majority 87% of the respondents agreed that biometrics such as; fingerprints were secure, efficient and effective for the login process. By increasing the security factors of biometrics in e-assessment, the proposed multifactor authentication Framework (E-MuAF) continually watches learners as they are being assessed while ensuring there is no cheating, such as impersonation. This paper proposes a Multifactor authentication Framework to upgrade from single-factor to three-factor authentication systems