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. The proposed model is simulated using two organizations, two peers each organization, one common channel and an
orderer node.Thereafter, overall system throughput and latency is computed 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. The peak of average latency and throughput is reached to 0.45 seconds and 93.6 TPS respectively which is enough to deal
with real time traffic. At last, an artificial intelligence-based model is proposed which can be used in futurestudiesfor prioritizing the cases.