A recently significant confirmation has adopted to e-learning systems are in great demand. Students, instructors, and examiners share large amounts of data, which should be transmitted securely. One of the most support infrastructures to merging intelligent devices, data analysis, and cybersecurity is the Internet of Things(IoT). Specifically, when combined with Fog and cloud potentials to strengthen the performance of various latency-sensitive and computing-intensive. This paper presents the IoT-Fog-Cloud framework to provide security factors in sharing E-exam which poses several security challenges, such as fine-grained access control and security preservation of E-exam. Further, the proposed framework supports bringing closer the services to the students. Besides, this paper improves the efficiency of E-exam data analysis, reduces the encryption burden in terms of computation cost on user's devices by offloading part of encryption cost to fog servers, and provides fine-grained access control to E-exam content by encrypting with different cryptographic techniques. IoT-fog-cloud framework works in consideration of two main elements: the layer components and the layer processes. Layer components to be integrated include the FGNs, cloud data centers, and GFNs. In layer processes, a series of benefits can be realized, since distribution processes help students to reduce latency and enhance response times and the preservation of privacy and security . Finally, this paper shows that the proposed IoT-Fog-Cloud framework can achieve data confidentiality, fine-grained access control, collusion resistance, and unforgeability to ensure secure procedures to apply the proposed framework.