IoT-Enabled Cyber-Physical Systems for Fraud Detection in Online Academic Evaluation

Abstract

The integration of Internet of Things (IoT) technologies with Cyber-Physical Systems (CPS) has revolutionized various sectors, including online academic evaluation systems. IoT-enabled CPS can enhance security and reliability by providing real-time monitoring and interaction between physical and digital components. However, existing methods for fraud detection in online academic evaluation face challenges such as limited data transparency, delayed responses, and inadequate authentication mechanisms. These issues often result in manipulated assessments and undermine the credibility of academic evaluations. In the proposed method, an Internet of Things-based Fraud Detection (IoT-FD) system is introduced for online academic evaluation. The framework utilizes IoT sensors, devices, and data analytics to monitor user behaviour, track test-taking environments, and validate identities in real time. This approach ensures a higher level of detection by collecting data from multiple sources and analysing it using machine learning algorithms for anomalies or suspicious patterns. The proposed IoT-FD system offers enhanced fraud detection capabilities, providing educators and institutions with a robust solution to mitigate cheating, identity fraud, and score manipulation in online assessments. By leveraging IoT sensors and advanced data processing, this method ensures a more secure and transparent academic evaluation process. The findings demonstrate that the IoT-FD system significantly reduces fraudulent activities in online academic evaluations by providing real-time insights and adaptive detection mechanisms, thus ensuring the integrity and fairness of the evaluation process. This approach enhances the overall security of online education platforms by Fraud Identification (98.84%), Fraud Detection Accuracy (97.45), Real-Time Response (98.05%), Security and transparency (99.25%), User Authentication Effectiveness (98.26%), fostering a trustworthy academic environment.