A Comprehensive Review on Secure IoT-Based E-Examination Systems Using Fog Computing

Computer Science and Engineering

E-learning systems are in high demand, according to a recent important confirmation. Examiners, teachers, and students exchange a lot of data, which needs to be sent safely. The Internet of Things (IoT) is one of the most supportive infrastructures for combining cybersecurity, data analysis, and intelligent devices. In particular, when paired with fog and cloud potentials to improve the efficiency of different computing-intensive and latency-sensitive applications. The IoT-Fog-Cloud framework is presented in this paper to provide security factors for sharing E-exams, which present a number of security challenges, including fine-grained access control and E-exam security preservation. Additionally, the suggested framework is in favour of bringing services closer to the students. Additionally, by offloading a portion of the encryption cost to fog servers, this paper increases the efficiency of E-exam data analysis, lowers the encryption burden on user devices in terms of computation costs, and offers fine-grained access control to E-exam content through encryption using various cryptographic techniques. The two primary components of the IoT–fog–cloud framework are the layer processes and the layer components. The FGNs, cloud data centers , and GFNs are among the layer components that need to be integrated. A number of advantages can be obtained in layer processes because of distribution processes. This paper concludes by demonstrating that the suggested IoT-Fog-Cloud framework can guarantee secure procedures for implementing the framework by achieving data confidentiality, fine-grained access control, collusion resistance, and unforgeability.

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