Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

Browse

Has files: NoSubject: search.filters.subject.Hyperledger Fabric

Search Results

Now showing 1 - 3 of 3
  • No Thumbnail Available
    Item
    DeSAT: Towards Transparent and Decentralized University Counselling Process
    (Institute of Electrical and Electronics Engineers Inc., 2022) Thummar, D.; Jahnavi, Y.; Prathyusha, M.; Shahanaz, S.; Ghosh, B.C.; Addya, S.K.
    The admission process in academic institutions (universities, colleges, etc.) is more digitized than ever. Starting from standardized tests to application processing, to shortlisting on the basis of merit, to even document verification, everything is carried out through online processes now. However, in spite of having huge benefits in terms of convenience, existing admission processes severely lack transparency. The entire process is dependent on certain central authoritative entities such as the testing authorities followed by the institutes themselves. Moreover, critical tasks such as verifying educational and identity-related documents of students is a tedious affair and the effort is duplicated across all institutions. In this work, we attempt to overcome these limitations of the existing workflow of academic institutes' admission process by designing a distributed ledger based framework that involves the academic institutes, testing authorities, document and credential validators, as well as the students. Our framework DeSAT uses verifiable credentials together with a permissioned ledger to remove the duplicate efforts in verification of test scores as well as validation of students' documents. In addition, it makes the entire process transparent and auditable while enforcing fair merit-based seat allotment through smart contracts. Through a prototype implementation using Hyperledger Fabric, Indy, and Aries, we demonstrate the practicality of DeSAT and show that our system offers acceptable performance while scaling with the number of participating institutions. © 2022 IEEE.
  • No Thumbnail Available
    Item
    Function Scheduling with Data Security in Serverless Computing Systems
    (Institute of Electrical and Electronics Engineers Inc., 2025) Saha, S.; Pandey, A.; Addya, S.K.; Brata Nath, S.
    In serverless computing, the service provider takes full responsibility for function management. However, serverless computing has many challenges regarding data security and function scheduling. To address these challenges, we have proposed a system to secure the data of an end-user. We also aim to meet the quality of service (QoS) for the end-user requests. This work presents a Simulated Annealing-based optimization algorithm for function placement. Also, we have Hyperledger Fabric, a blockchain framework in the system architecture for securing the data of an end-user. We have conducted experiments in Amazon Elastic Compute Cloud (EC2) taking virtual machine instances. The experiments in Amazon EC2 indicate that the proposed system secures the data and enhances the end-user's QoS. © 2025 IEEE.
  • No Thumbnail Available
    Item
    Blockchain-based Data Security and Integrity Management Framework for Cyber-Physical Systems Using Hyperledger and Storj
    (Institute of Electrical and Electronics Engineers Inc., 2025) Vanja, S.K.; Janani, T.
    Modern Cyber-Physical Systems (CPS) generate large volumes of sensitive data, requiring secure management. Traditional centralized storage systems are vulnerable to breaches and unauthorized access, making them unsuitable for safeguarding CPS data. This paper presents a blockchain-based architecture integrating Hyperledger Fabric and Storj to enhance data security, integrity, and privacy. Hyperledger Fabric ensures data integrity and transparency through a tamper-proof distributed ledger, fine-grained a ccess c ontrol, a nd automated smart contract protocols. Storj provides decentralized storage, splitting encrypted data into segments across global nodes to eliminate single points of failure and improve redundancy. Experimental evaluation demonstrates a 20% improvement in data retrieval speed, 100% integrity accuracy, and 1,000 transactions per second with minimal CPU usage. Additionally, the integration of homomorphic encryption enables real-time computations on encrypted data while preserving privacy. The proposed framework addresses critical CPS challenges, delivering a scalable, secure, and resilient system for managing CPS data. © 2025 IEEE.