We propose a cloud-based digital sensor resource sharing system and combine it with an image sensor and an access control mechanism to establish a secure environment. In recent years, the IoT has profoundly changed the model of education, with students learning on online courses via mobile phones or IoT devices without limitations of time and space. IoT makes e-learning accessible in more places and in more ways. Students can use sensing or terminal devices to interact with teaching materials on the cloud platform. Data privacy is a major concern for engaged online users. In this study, we first identify feature points, using an image sensor to confirm that a user is legitimate. Then we use a Lagrange interpolation polynomial and a key cryptography system to control the encryption and decryption of the user’s login to the system, where we utilize hierarchical access control in the method. Therefore, the access control method is set to manage the data that everyone can access. Additionally, we apply a timestamp to manage the limited time in which users are allowed to access the files. The timestamp is also integrated in the system to create a complete access control structure to effectively improve the functionality of the cloud-based digital sensor platform. Identity verification is strictly used to control the user’s access rights, and the exclusive settings of all users are controlled to ensure their overall rights and the security of the system. Our proposed system can also prevent both external and internal malicious attackers. A single user or a malicious group should have no opportunity to invade this system or steal or modify user data. Access control management and system compatibility have become primary issues in the access and delivery of digital material. Accordingly, we provide a more efficient method for optimizing the use of digital material such as online platforms in e-learning and enhancing the quality of digital sharing.