Blockchain Based Student Grievances Redressal System, Performance Analysis and Proposing Artificial Intelligence- Based Model

Abstract

Ensuring the integrity of data is essential to protect sensitive information from unauthorized alterations. Employing appropriate tools and methodologies is crucial in preventing data manipulation. This is especially vital for maintaining the integrity of various types of information, such as financial transactions, online assets, patient health records, insurance details, data from IoT sensors, supply chain information, and logistics data. Data integrity plays a pivotal role in maintaining the accuracy of student grievance information, as higher authorities may be tempted to manipulate it for institutional interests. Within the realm of higher education, it is imperative for universities to establish a secure environment where students feel comfortable expressing their grievances. Traditional methods for registering complaints were not secure, lacks in maintaining privacy and transparency and thus contributing to heightened frustration and fear. This article suggests a viable solution to this issue by implementing a student complaints system based on blockchain technology. The proposed approach involves simulating the use of the Hyperledger Fabric framework, leveraging blockchain to ensure its resistance to tampering. This study also reveals an approach of computing overall system throughput and latency by making use of Hyperledger Caliper. The simulated result indicates minimal latency and high throughput even after injecting the transactions at different TPS (Transaction per second) rates. At last, an artificial intelligencebased model is proposed for smooth functioning of such systems.