A Machine Learning-Enabled Cloud Security Framework Integrating Biometric Authentication, Data Encryption, and Malware Detection
Authors: Muhammad Abdullah Bajwa, Mina Fatima Malik, Sufyan Munawar, Farhan Hassan Malik
Abstract
Cloud computing has become a main program to store a large amount of data. However, unauthorized access and the uploading of files that contain malware are still major challenges of security. This paper presents an ML-based cloud system that uses biometric authentication and malware detection to secure data that is stored in the cloud. This system accomplishes multi-factor authentication by using face recognition and one-time password (OTP) that will be sent to the given email. After getting success in login, the user’s file will be passed through a malware detection process. The upload will be blocked and the file returned back to the user if any type of malware or malicious data is detected from the file; otherwise, the file will be uploaded safely to the cloud. This approach improves confidentiality and integrity by using strong identity verification and stopping malware from entering the cloud environment.
