University of Bahrain
Scientific Journals

Enhancing Data Integrity in Higher Education:A Blockchain-Based Student Complaint System Using Hyperledger Fabric

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dc.contributor.author Kumar Kaushal, Rajesh
dc.contributor.author Kumar, Naveen
dc.contributor.author Flammini, Francesco
dc.date.accessioned 2024-06-08T13:49:53Z
dc.date.available 2024-06-08T13:49:53Z
dc.date.issued 2024-06-08
dc.identifier.issn 2210-142X
dc.identifier.uri https://journal.uob.edu.bh:443/handle/123456789/5739
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.subject Blockchain, Hyperledger Fabric, Hyperledger Caliper, Fabric Performance, Artificial Intelligence, Decentralized Grievances, Sentiment Analysis en_US
dc.title Enhancing Data Integrity in Higher Education:A Blockchain-Based Student Complaint System Using Hyperledger Fabric en_US
dc.identifier.doi http://dx.doi.org/10.12785/ijcds/1601102
dc.volume 16 en_US
dc.issue 1 en_US
dc.pagestart 1387 en_US
dc.pageend 1397 en_US
dc.contributor.authorcountry India en_US
dc.contributor.authorcountry India en_US
dc.contributor.authorcountry Switzerland en_US
dc.contributor.authoraffiliation chitkara University Institute of Engineering and Technology, Chitkara University en_US
dc.contributor.authoraffiliation chitkara University Institute of Engineering and Technology, Chitkara University en_US
dc.contributor.authoraffiliation IDSIA USI-SUPSI, University of Applied Sciences and Arts of Southern Switzerland en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US


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